ieee 2014 project list by spectrum solutions pondicherry

5/19/2018 IEEE 2014 PROJECT LIST BY SPECTRUM SOLUTIONS PONDICHERRY


IEEE 2014 PROJECT LIST

ECE/E&I/ETC/EMBEDDED DEPARTMENT

SPECTRUM SOLUTIONS

COMPANY DETAIL:

SPECTRUM SOLUTIONSis a Pondicherry based R&D firm which always looks forward

the field of science and technology to provide best technical support for the final year student

SPECTRUM has a great team of technical experts for the design development of Electronic and softwa

Systems using Embedded, MATLAB, Java, Dot Net Technology.

SPECTRUM SOLUTIONS always concentrate us to provide quality products for variou

institutions and students. We offer the projects in all domains for the students of Diplom

B.Tech/B.E,M.Tech/M.E,MS,BCA,MCA etc. Our major concern is in the field of technical education t

bridge the gap between Industry and Academics. We are always in the good eyes of the Education

Institutions in India to provide training & projects in Embedded Systems MATLAB and softwa

technologies. We also provide interview training for free of cost. We never stop in going that extra mi

ahead in providing greater value to own ideas of students, may it be in terms of providing adequat

workforce proficient in highly application cost oriented Embedded Systems or Software Systems.

EDUCATIONAL PARTNER:

International Journal of Research in Engineering and Advanced Technology (IJREAT)


OUR FEATURES FOR STUDENTS:

1. 10 Days technical Project classes with practical.

2. 5 Days personality development classes.

3. Paper presentation guidance.

4. Individual Certificates.

5. Weekend Classes.6. Students help with their job search queries.

7. Lower project cost without hampering the quality.

8. Project delivery on time.

POJECTS FOR - : B.Tech /B.E ,M.Tech/M.E,M.S,DIPLOMA,BCA,MCA

MAIL ID :[email protected]

WEBSITE : www.spectrumpondicherry.blogspot.in/

FACEBOOK : https://www.facebook.com/pages/Spectrum-Solutions/548721691855495?ref=h

LANDLINE NO :0413-2618850

MOBILE NO :9381775781

ADDRESS : SPECTRUM SOLUTIONS

E-Mail: [email protected]

Contact: 0413-2618850, 9381775781

No-66,1st Floor

Near Rogini Nagar Govt Hospital

Poornankuppam

Pondicherry-07


No-66 1stFloor, Rogini Nagar, Near Thavalakuppam Govt. Hospital, Poornankuppam, Pondy-07.Phone: 0413-2618850, Cell: 9381775781

7667052212.E-mail: [email protected] BlogSpot: spectrumpondicherry.blogspot.in

4

CONTENT

S.NO TITLE PAGE NO

1 ELECTRONICS & COMMUNICATION 5

EMBEDDED 5-55

MATLAB IMAGE PROCESSING 56-69

MATLAB DSP/COMMUNICATION 70-73

ANDROID 74-81

2 INFORMATION TECHNOLOGY & COMPUTER SCIENCE 82

JAVA DOTNET 82-108

3 MECHANICAL 109

MECHATRONICS 109-130

4 ELECTRICAL & ELECTRONICS 131-158




5

ELECTRONICS & COMMUNICATION

EMBEDDEDAPPENDIX:

E = Embedded

I = Instrumentation

B = Biomedical

W = Wireless

M = Mechatronics

G = Gesture base

R = Robotics

S.No Code Title Year Abstract

1

EIA-01 Flexible Indoor

Localization and

Tracking Based

on a Wearable

Platform andSensor Data

Fusion

2014 Indoor localization and tracking of moving huma

Targets are a task of recognized importance an

difficulty. In this paper, we describe a positio

measurement technique based on the fusion of vario

sensor data collected using a wearable embeddplatform. Since the accumulated measureme

uncertainty affecting inertial data (especially due

the on-board accelerometer) usually makes t

measured position values drift away quickly,

heuristic approach is used to keep velocity estimatio

uncertainty in the order of a few percent. As a resu

unlike other solutions proposed in the literatur

localization accuracy is good when the wearab

platform is worn at the waist. Unbounded uncertain

growth is prevented by injecting the position valu

collected at a very low rate from the nodes ofa

external fixed infrastructure (e.g., based on camera

into an extended Kalman filter. If the adjustment ra

is in the order of several seconds and if su

corrections are performed only when the user

detected to be in movement, the infrastructu

remains idle most of time with evident benefits

terms of scalability. In fact, multiple platforms cou

work simultaneously in the same environment witho

saturating the communication channels.

2

EIA-02 Monitoring of

Oxygen Content

in the Flue Gasat a Coal-Fired

Power Plant Using

Cloud Modeling

Techniques

2014 The accurate measurement of oxygen content in t

flue gas at a coal-fired power plant is important for t

plant operators to realize closed-loop and optimcontrol. In this paper, eight zirconium oxyg

analyzers were used to measure the oxygen content

the flue gas under real plant conditionsA cloud mod

is incorporated into the measurement system

Inconsideration of the temporal and spati

characteristics of the oxygen sensors, a quantitati

transformation fusion model based on the cloud mod




6

theory is established. The oxygen content in the fl

gas is calculated using mean value, space fusion, an

spacetime fusion methods, respectively. T

temperatures of both flue gas and cold air are al

measured to calculate the heatless of the flue gas an

the combustion efficiency of the boiler. On-pla

demonstration results show that the proposed metho

produces more accurate measurements than thofrom the mean value method, leading to increas

combustion efficiency and Reduced heat loss.

3 EIA-03 Enhanced Three-

factor Security

Protocol for

Consumer USB

Mass Storage

Devices

2014 The Universal Serial Bus (USB) is an extreme

popular interface standard for computer peripher

connections and is widely used in consumer Ma

Storage Devices (MSDs). While current consumer US

MSDs provide relatively high transmission speed an

are convenient to carry, the use of USB MSDs has be

prohibited in many commercial and everyd

environments primarily due to security concern

Security protocols have been previously proposed an

a recent approach for the USB MSDs is to utilimulti-factor authentication. This paper propos

significant enhancements to the three-factor contr

protocol that now makes it secure under many types

attacks including the password guessing attack, t

denial-of-service attack, and the replay attack. T

proposed solution is presented with a rigorous securi

analysis and practical computational cost analysis

demonstrate the usefulness of this new securi

protocol for consumer USB MSDs1.

4 EIA-04 Autonomic

Intelligent Cyber

Sensor to Support

Industrial Control

Network

Awareness

2014 The proliferation of digital devices in a network

industrial

Ecosystem, along with an exponential growth

complexity and scope, has resulted in elevated securi

concerns and management complexity issues. Th

paper describes a novel architecture utilizing concep

of autonomic computing and a simple object acce

protocol (SOAP)-based interface to metadata acce

points (IF-MAP) external communication layer

create a network security sensor. This approa

simplifies integration of legacy software and suppor

a secure, scalable, and self-managed framework. T

contribution of this paper is twofold: 1) A flexible tw

level communication layer based on autonomcomputing and service oriented architecture is detail

and 2) three complementary modules that dynamica

reconfigure in response to a changing environment a

presented. One module utilizes clustering and fuz

logic to monitor traffic for abnormal behavio

Another module passively monitors network traff

and deploys deceptive virtual network hosts. The

components of the sensor system were implemented




7

C++ and PERL and utilize a common internal D-B

communication mechanism. A proof of conce

prototype was deployed on a mixed-use test netwo

showing the possible real-world applicability.

testing, 45 of the 46 network attached devices we

recognized and 10 of the 12 emulated devices we

created with specific operating system and po

configurations. In addition, the anomaly detectioalgorithm achieved a 99.9% recognition rate. A

output from the modules were correctly distribut

using the common communication structure.

5

EIA-05 Feature Selection

and Activity

Recognition

System Using a

Single Tri-axial

Accelerometer

2014 Activity recognition is required in various applicatio

Such as medical monitoring and rehabilitatio

Previously developed activity recognition system

utilizing tri-axial accelerometers have provided mix

results, with subject-to-subject variability. This pap

presents an accurate activity recognition syste

utilizing a body worn wireless accelerometer, to

used in the real life application of patient monitorin

The algorithm utilizes data from a single, waimounted tri-axial accelerometer to classify gait even

into six daily living activities and transitional even

The accelerometer can be worn at any location aroun

the circumference of the waist, thereby reducing us

training. Feature selection is performed using Relief

and sequential forward floating search (SFFS) from

range of previously published features, as well as ne

features introduced in this paper. Relevant and robu

features that are insensitive to the positioning

accelerometer around the waist are selected. SFF

selected almost half the number of features

comparison to Relief-F and provided higher accurathan Relief-F. Activity classification is perform

using Nave Bayes and k-nearest neighbor (k-NN) an

the results are compared. Activity recognition resu

on seven subjects with leave-one-person-out err

estimates show an overall accuracy of about 98% f

both the classifiers. Accuracy for each of the individu

activity is also more than 95%.

6 EIA-06 Experiential

Learning of

Digital

CommunicationUsing Lab VIEW

2014 This paper discusses the design and implementation

laboratories and course projects using Lab VIEW

an Instrumentation course. The pedagogical challen

is to enhance students learning of digitcommunication using Lab VIEW. Lab VIEW w

extensively used in the laboratory sessions, whi

better prepared students for the course projects. Tw

course projects were designed to familiarize t

students with virtual instrumentation, da

acquisition, Modbus communication, and simp

closed-loop control. One project involved t

instrumentation and control of a brushed




8

permanent magnet motor; the other involved t

instrumentation and control of a small-sca

temperature chamber. Students used one compute

functioning as a Modbus slave, to measure the mot

speed or temperature inside the chamber and to tu

the motor or light bulbs on and Off. Anoth

computer, functioning as a Modbus master, reads t

measurements using Modbus communication protocvia RS-485 wires, compared the measurements to t

set points, made control decisions, and sent t

commands to the Modbus slave for actuation. T

effectiveness of student learning is analyzed usi

student survey data.

7

EIA-07 Portable

Grounding

Impedance Meter

Based on DSP

2014 A new grounding impedance measuring system bas

on digital signal processor (DSP) platform w

developed. The low-cost portable device includes

built-in voltage impulse generator, nonvolat

memory for storage of measured current and volta

waves and a graphical display for fast da

visualization. General hardware structure overvieand software implementation are discussed. Consiste

preliminary field-test results were provided by t

measuring system, consisting of records of groundi

potential rise and impressed current, impul

impedance, and estimated low-frequency groundin

resistance obtained for different electro

arrangements buried in low- and high-resistivity soils

8

EIA-08 Communication-

Based Train

Control (CBTC)

Systems With

Cooperative

Relaying: Design

and Performance

Analysis

2014 A communication-based train control (CBTC) syste

is an automated train control system usin

bidirectional ltrainground communications to ensu

the safe operation of Rail vehicles. CBTC systems ha

stringent requirements for communication availabili

and latency. Most existing CBTC Traingroun

communication systems work in the infrastructu

mode without traintrain communications. Due

unreliable wireless communications and freque

handoffs, existing CBTC systems can severely affe

train control performance, train operation efficienc

and the utility of the railway. In this paper, we u

recent advances in cooperative relaying to enab

traintrain communications and, consequent

enhance the train control performance of CBT

systems. Trains act not only as end communicatiopoints but as relays for other trains as well. Unli

existing works on cooperative relaying, in this pape

linear quadratic cost for the train control performan

in CBTC systems is considered as the performan

measure. We jointly consider cooperative relaying an

handoff decision issues in CBTC systems. Moreover,

mitigate the impacts of handoff latency on the tra

control performance, we propose an optimal guidan




9

trajectory calculation scheme in the train contr

procedure that takes full consideration of the trackin

error caused by handoff latency. Simulation resu

show that the train control performance can

substantially improved in our proposed CBTC syste

with cooperative relaying.

9 EIA-09 Data Fusion and

Fault Diagnosisfor Flexible

Arrayed pH

Sensor

Measurement

System

Based on Lab

VIEW

2014 This paper concerns the data fusion (DF) and fau

diagnosis (FD), which could increase the reliability measured results when one sensing window was fault

The flexible arrayed pH sensor was fabricated b

radio frequency sputtering system and screen-print

technology, which the ruthenium dioxide w

deposited on the polyethylene terephthalate substra

as sensitive membranes and the miniature referen

electrodes were fabricated by screen-print

technology. We measured pH buffer solutions for fi

times and the flexible arrayed pH sensor had a Wi

sensing range of pH 113 solutions. The avera

sensitivity and linearity were 47.70 mV/pH and 0.83

respectively. We used the Laboratory VirtuInstrumentation Engineering Workbenchto

deficient diagnosis which could remove the fau

sensing window. The average DF with FD, se

adaptive data fusion with FD and coefficient

variance data fusion with FD could increase sensitivi

and linearity 22% and 0.14, respectively.

10

EBA-01 Non-invasive

Respiration Rate

Monitoring

Using a Single

COTS TX-RX

Pair

2014 Respiratory rate is an important vital sign that c

indicate progression of illness but to also predict rap

decline in health. For the purpose, non-conta

monitoring systems are becoming more popular due

the self-evident increase in patient comfort. As a co

effective solution for non-invasive breathi

monitoring, utilizing the received signal streng

measurements of inexpensive transceivers has be

proposed. However, the applicability of the availab

solutions is limited since they rely on numero

sensors. In this work, considerable improvement

made, and a respiratory rate monitoring system bas

on a single commercial off-the-shelf transmitte

receiver pair is presented. Methods that enab

estimation and enhance the accuracy are present

and their effects are evaluated. Moreover,

empirically demonstrated that the performance of tsystem is comparable to the accuracy of a high-en

device for 3-4orders of magnitude less price; achievin

mean absolute error of 0.12 breaths per minute in t

most realistic scenario of the experiments.

11

EBA-02 Brain Waves for

Automatic

Biometric-Based

User Recognition

2014 Brain signals have been investigated within t

medical field for more than a century to study bra

diseases like epilepsy, spinal cord injurie

Alzheimers, Parkinsons, Schizophrenia and stro




10

among others. They are also used in both bra

computer and brain machine interface systems wi

assistance, rehabilitative, and entertainme

applications. Despite the broad interest in clinic

applications, the use of brain signals has been on

recently investigated by the scientific community as

biometric characteristic to be used in automatic peop

recognition systems. However, brain signals presesome peculiarities, not shared by the most common

used biometrics ,such as face, iris, and fingerprin

with reference to privacy compliance, robustne

against spoofing attacks, possibility to perfor

continuous identification, intrinsic live misdetecti

and universality. These peculiarities make the use

brain signals appealing. On the other hand, there a

many challenges which Need to be properly addresse

The understanding of the level of uniqueness an

permanence of brain responses, the design

elicitation protocols, and the invasiveness of t

acquisition process are only few of the challengwhich need to be tackled. In this paper, we furth

speculate on those issues, which represent an obstac

toward the deployment of biometric systems based o

the analysis of brain activity in real life applicatio

and intend to provide a critical and comprehensi

review of state-of-the-art Methods f

electroencephalogram-based automatic us

recognition, also reporting neuro-physiologic

evidences related to the performed claims.

12

EBA-03 Soft Biometrics

and Their

Application inPerson

Recognition at a

Distance

2014 Soft biometric information extracted from a huma

body (e.g., height, gender, skin color, hair color, and

on) is ancillary information easily distinguished atdistance but it is not fully distinctive by itself

recognition tasks. However, this soft information ca

be explicitly fused with biometric recognition system

to improve the overall recognition when confrontin

high variability conditions. One significant example

visual surveillance, where face images are usual

captured in poor quality conditions with hig

variability and automatic face recognition systems

not work properly. In this scenario, the soft biometr

information can provide very valuable information f

person recognition. This paper presents a

experimental study of the benefits of soft biometr

labels as ancillary information based on t

description of human physical features to impro

challenging person recognition scenarios at a distanc

In addition, we analyze the available soft biometr

information in scenarios of varying distance betwe

camera and subject. Experimental results based on t

Southampton multi-biometric tunnel database sho




11

that the use of soft biometric traits is able to impro

the performance of face recognition based on spar

representation on real and ideal scenarios by adapti

fusion rules.

13

EBA-04 RFID Technology

for IoT-Based

Personal

Healthcare inSmart Spaces

2014 The current evolution of the traditional medical mod

toward the participatory medicine can be boosted

the Internet of Things (IoT) paradigm involvin

sensors (environmental, wearable, and implantespread inside domestic environments with the purpo

to monitor the users health and activate remo

assistance. RF identification (RFID) technology is no

mature to provide part of the IoT physical layer f

the personal healthcare in smart environmen

through low-cost, energy-autonomous, and Disposab

sensors. It is here presented a survey on the state-

the-art of RFID for application to body centric system

and for gathering information (temperature, humidit

and other gases) about the users living environmen

Many available options are described up to t

application level with some examples of RFID systemable to collect and process multichannel data about t

human behavior in compliance with the pow

exposure and sanitary regulations. Open challeng

and possible new research trends are finally discusse

14

EBA-05 Novel Electrodes

for Underwater

ECG Monitoring

2014 We have developed hydrophobic electrodes th

provide all morphological waveforms witho

distortion of an ECG signal for both dry and wate

immersed conditions. Our electrode is comprised of

mixture of carbon black powder (CB) and po

dimethylsiloxane(PDMS). For feasibility testing of t

CB/PDMS electrodes, various tests were performe

One of the tests included evaluation of the electrod

to-skin contact impedance for different diameter

thicknesses, and different pressure levels. As expecte

the larger the diameter of the electrodes, the lower t

impedance and the difference between the large siz

CB/PDMS and the similarly-sized Ag/AgCl hydrog

electrodes was at most 200 k, in, in favor of th

latter. Performance comparison of CB/PDM

electrodes to Ag/AgCl hydrogel electrodes was carri

out in three different scenarios: a dry surface, wat

immersion, and post water immersion conditions.

the dry condition, no statistical differences were founfor both the temporal and spectral indices of the hea

rate variability analysis between the CB/PDMS an

Ag/AgCl hydrogel (p > 0.05) electrodes. During wat

immersion, there was significant ECG amplitu

reduction with CB/PDMS electrodes when compar

to wet Ag/AgCl electrodes kept dry by the

waterproof adhesive tape, but the reduction was n

severe enough to obscure the readability of t




12

recordings, and all morphological waveforms of t

ECG signal were discernible even when moti

artifacts were introduced. When water did n

penetrate tape-wrapped Ag/Ag Cl electrodes, hig

fidelity ECG signals were observed. However, wh

water penetrated the Ag/Ag Cl electrodes, the sign

quality degraded\ to the point where EC

morphological waveforms were not discernible.15 EBA-06 ERNN: A

Biologically

Inspired Feed

forward

Neural Network to

Discriminate

Emotion

from EEG Signal

2014 Emotions play an important role in human cognitio

perception, decision making, and interaction. Th

paper presents a six-layer biologically inspired fe

forward neural network to discriminate huma

emotions from EEG. The neural network comprises

shift register memory after spectral filtering for t

input layer, and the estimation of coherence betwe

each pair of input signals for the hidden layer. EE

data are collected from 57 healthy participants fro

eight locations while subjected to audio-visual stimu

Discrimination of emotions from EEG is investigat

based on valence and arousal levels. The accuracy the proposed neural network is compared with vario

feature extraction methods and feed forward learni

algorithms. The results showed that the highe

accuracy is achieved when using he proposed neur

network with a type of radial basis function.

16 EBA-07 An Enhanced Fall

Detection System

for Elderly Person

Monitoring

using Consumer

Home Networks

2014 Various fall-detection solutions have been previous

proposed to create a reliable surveillance system f

elderly people with high requirements on accurac

sensitivity and specificity. In this paper, an enhanc

fall detection system is proposed for elderly pers

monitoring that is based on smart sensors worn on t

body and operating through consumer home network

With treble thresholds, accidental falls can be detect

in the home healthcare environment. By utilizin

information gathered from an accelerometer, card

tachometer and smart sensors, the impacts of falls ca

be logged and distinguished from normal da

activities. The proposed system has been deployed in

prototype system as detailed in this paper. From a te

group of 30 healthy participants, it was found that t

proposed fall detection system can achieve a hig

detection accuracy of 97.5%, while the sensitivity an

specificity are96.8% and 98.1% respectiveTherefore, this system can reliably be developed an

deployed into a consumer product for use as an elder

person monitoring device with high accuracy and

low false positive rate1.

17

EBA-08 Assistive Clothing

Pattern

Recognition

for Visually

2014 Choosing clothes with complex patterns and colors is

challenging task for visually impaired peop

Automatic clothing pattern recognition is also

challenging research problem due to rotation, scalin




13

Impaired People illumination, and especially large infraclass patte

variations. We have developed a camera-bas

prototype system that recognizes clothing patterns

four categories (plaid, striped, pattern less, an

irregular) and identifies 11 clothing colors. The syste

integrates a camera, a microphone, a computer, and

Bluetooth earpiece for audio description of clothi

patterns and colors. A camera mounted upon a pair sunglasses is used to capture clothing images. T

clothing patterns and colors are described o blin

users verbally. This system can be controlled by spee

input through microphone. To recognize clothi

patterns, we propose a novel Radon Signatu

descriptor and a schema to extract statistic

properties from wavelet sub bands to capture glob

features of clothing patterns. They are combined wi

local features to recognize complex clothing pattern

To evaluate the effectiveness of the propos

approach, we used the CCNY Clothing Patte

dataset. Our approach achieves 92.55% recognitiaccuracy which significantly outperforms the state-o

the-art texture analysis methods on clothing patte

recognition. The prototype was also used by t

visually impaired participants. Most thought such

system would support more independence in the

daily life but they also made suggestions f

improvements.

18

EBA-09 Wireless and

Wearable EEG

System for

Evaluating Driver

Vigilance

2014 Brain activity associated with attention sustained

the task of safe driving has received considerab

attention recently in many neurophysiological studie

Those investigations shave also accurately estimat

shifts in drivers levels of arousal, fatigue, anvigilance, as evidenced by variations in their ta

performance, by evaluating electroencephalograph

(EEG) changes. However, monitoring t

neurophysiological activities of automobile drive

poses a major measurement challenge when using

laboratory-oriented biosensor technology. This wo

presents a novel dry EEG sensor based mobile wirele

EEG system (referred to herein as Mind) to monitor

real time a drivers vigilance status in order to link t

fluctuation of driving performance with changes

brain activities. The proposed Mind syste

incorporates the use of a wireless and wearable EE

device to record EEG signals from hairy regions of t

driver conveniently. Additionally, the proposed syste

can process EEG recordings and translate them in

the vigilance level. The study compares the syste

performance between different regression mode

Moreover, the proposed system is implemented usi

JAVA programming language as a mobile applicatio




14

for online analysis A case study involving 15 stu

participants assigned a 90 min sustained-attenti

driving task in an immersive virtual drivi

environment demonstrates the reliability of t

proposed system. Consistent with previous studi

power spectral analysis results confirm that the EE

activities correlate well with the variations in vigilanc

Furthermore, the proposed system demonstrated tfeasibility of predicting the drivers vigilance in re

time.

19 EBA-10 A Tactile

Stimulation

Device for EEG

Measurements in

Clinical Use

2014 A tactile stimulation device for EEG measurements

clinical environments is proposed. The main purpo

of the tactile stimulation device is to provide tacti

stimulation to different parts of the body. To stimula

all four major types of mechanoreceptors, differe

stimulation patterns with frequencies in the range

5250 Hz have to be generated. The device provid

two independent channels, delivers enough power

drive different types of electromagnetic transducers,

small and portable, and no expensive components arequired to construct this device. The generat

stimulation patterns are very stable, and determinist

control of the device is possible. To meet electric

safety requirements, the device was designed to

fully galvanic ally isolated. Leakage currents of t

entire EEG measurement system including the tact

stimulation device were measured by the Europe

Testing and Certifying Body for Medical Produc

Graz (Notified Body0636). All measured currents we

far below the maximum allowable currents defined

the safety standard EN 606011:2006 for medic

electrical equipment. The successful operation of ttactile stimulation device was tested during an EE

experiment. The left and right wrist of one health

subject was randomly stimulated with seven differe

frequencies. Steady-state somatosensory evok

potential (SSSEPs) could successfully be evoked an

significant tuning curves at electrode positio

contralateral to the stimulated wrist could be foun

The device is ready to be used in clinical environme

in a variety of applications to investigate t

somatosensory system, in brain-computer interfac

(BCIs), or to provide tactile feedback.

20

EBA-11 Bio impedance-

Based Respiration

Monitoring With

a Defibrillator

2014 Defibrillators often use an ace measurement to ensu

safe electrode placement. Some defibrillators al

utilize impedance measurements for ventilati

monitoring. This paper investigates how su

measurements can be optimized for high respirati

sensitivity and finds that it is beneficial to add tw

extra electrodes in addition to the two defibrillat

electrodes. This four electrode setup increas




15

sensitivity and also allows respiration measurements

lower frequencies than the two electrode setup.

21

EBA-12 A Configurable

and Low-Power

Mixed Signal SoC

for Portable ECG

Monitoring

Applications

2014 This paper describes a mixed-signal ECG System-o

Chip (SoC) that is capable of implementi

configurable functionality with low-pow

consumption for portable ECG monitorin

applications. A low-voltage and high performan

analog front-end extracts 3-channel ECG signals ansingle channel electrode-tissue-impedance (ET

measurement with high signal quality. This can

used to evaluate the quality of the ECG measureme

and to filter motion artifacts. A custom digital sign

processor consisting of 4-way SIMD process

provides the configurability and advanc

functionality like motion artifact removal and R pea

detection. A built-in 12-bit analog-to-digital convert

(ADC) is capable of adaptive sampling achieving

compression ratio of up to 7, and loop buff

integration reduces the power consumption for o

chip memory access. The SoC is implemented in 0.m CMOS process and consumes 32 W from a 1.2

while heart beat detection application is running, an

integrated in a wireless ECG monitoring system wi

Bluetooth protocol. Thanks to the ECG SoC, t

overall system power consumption can be reduc

significantly.

22

EBA-13 Automatic

Ingestion

Monitor: A Novel

Wearable

Device for

Monitoring of

Ingestive Behavior

2014 Objective monitoring of food intake and digesti

behavior in a free-living environment remains an op

problem that has significant implications in study an

treatment of obesity and eating disorders. In th

paper, a novel wearable sensor system (automat

ingestion monitor, AIM) is presented for objecti

monitoring of digestive behavior in free living. T

proposed device integrates three sensor modalities th

wirelessly interface to a smartphone: a jaw moti

sensor, a hand gesture sensor, and an accelerometer.

novel sensor fusion and pattern recognition meth

was developed for subject-independent food inta

recognition. The device and the methodology we

validated with data collected from 12 subjects wearin

AIM during the course of 24 hin which both the dai

activities and the food intake of the subjects were n

restricted in any way. Results showed that the systewas able to detect food intake with an avera

accuracy of 89.8%, which suggests that AIM c

potentially be used as an instrument to monit

digestive behavior in free-living individuals.

23 EBA-14 An Armband

Wearable Device

for Overnight

2014 24-h blood pressure (BP) has significant prognost

value for cardiovascular risk screening, but t

present BP devices are mainly cuff-based, which a




16

and Cuff-Less

Blood Pressure

Measurement

unsuitable for long-term Measurement, especial

during nighttime. In this paper, we developed

armband wearable pulse transit time (PTT) syste

for24-h cuff-less BP measurement and evaluated it

an unattended out-of-laboratory setting. Ten health

young subjects participated in this ambulatory stud

where PTT was measured at 30-mininterval by th

wearable system and the reference BP was measurby a standard oscillo metric ambulatory BP monito

Due to the misalignment of BP and PTT on the

recording time caused by the different measureme

principles of the two BP devices, anew estimati

method has been proposed: transients in PTT we

removed from the raw data by defined criteria, an

then evenly interpolated, low-pass filtered, an

resampled to synchronize at the time when BP w

recorded. The results show that with the propos

method, the correlation between PTT and systolic B

(SBP) during nighttime with dynamic range of 21.8

14.2 mmHg has improved from 0.50 0.24 to 0.620.20 (p




17

25

EBA-16 Using a Head-up

Display-Based

Steady-State

Visually Evoked

Potential Brain

Computer

Interface to

Control aSimulated Vehicle

2014 In this paper, we propose a new steady-state visual

evoked potential (SSVEP) braincomputer interfa

(BCI) with visual stimuli presented on a windshield v

a head-up display, and we apply this BCI

conjunction with an alpha rhythm to control

simulated vehicle with a 14-DOF vehicle dynami

model. A linear discriminant analysis classifier

applied to detect the alpha rhythm, which is used control the starting and stopping of the vehicle. T

classification models of the SSVEP BCI with thr

commands (i.e., turning left, turning right, and goi

forward) are built by using a support vector machi

with frequency domain features. A real-time brai

controlled simulated vehicle is developed and tested b

using four participants to perform a driving a

online, including vehicle starting and stopping, la

keeping, avoiding obstacles, and curve negotiatio

Experimental results show the feasibility of using t

human mind alone to control a vehicle, at least f

some users.26 EBA-17 A Low-

Computational

Approach on Gaze

Estimation With

Eye Touch System

2014 Among various approaches to eye tracking system

light-reflection based systems with non-imagi

sensors, e.g., photodiodes or phototransistors a

known to have relatively low complexity; yet, th

provide moderately accurate estimation of the point

gaze. In this paper, a low-computational approach o

gaze estimation is proposed using the Eye Tou

system, which is a light-reflection based eye tracki

system, previously introduced by the authors. Bas

on the physical implementation of Eye Touch, t

sensor measurements are now utilized in low

computational least-squares algorithms to estimaarbitrary gaze directions, unlike the existing lig

reflection-based systems, including the initial E

Touch implementation, where only limited predefin

regions were distinguished. The system also utilizes a

effective pattern classification algorithm to be able

perform left, right, and double clicks based

respective eye winks with significantly high accurac

In order to avoid accuracy problems for sensiti

sensor biasing hardware, a robust custo

microcontroller-based data acquisition system

developed. Consequently, the physical size and cost

the overall Eye Touch system are considerab

reduced while the power efficiency is improved. T

results of the experimental analysis over numero

subjects clearly indicate that the proposed eye tracki

system can classify eye winks with 98% accuracy, an

attain an accurate gaze direction with an avera

angular error of about 0.93. Due to its lightweig

structure, competitive accuracy and lo




18

computational requirements relative to video bas

eye tracking systems, the proposed system is

promising human-computer interface for bo

stationary and mobile eye tracking applications.

27

EBA-18 A Machine Vision-

Based Gestural

Interface for

People WithUpper Extremity

Physical

Impairments

2014 A machine vision-based gestural interface w

developed to provide individuals with upper extremi

physical impairments an alternative way to perfor

laboratory tasks that require physical manipulation components. A color and depth based 3-D partic

filter framework was constructed it unique descripti

features for face and hands representation. Th

framework was integrated into an interaction mod

utilizing spatial and motion information to de

efficiently with occlusions and its negative effec

More specifically, the suggested method propos

solves the false merging and false labeling problem

characteristic in tracking through occlusion. The sam

feature encoding technique was subsequently used

detect, track and recognize users hands. Experiment

results demonstrated that the proposed approach wsuperior to other state-of-the art tracking algorithm

when interaction was present (97.52%accuracy). F

gesture encoding, dynamic motion models we

created employing the dynamic time warping metho

The gestures were classified using a conditional densi

propagation based trajectory recognition method. T

hand trajectories were classified into different class

(commands) with a recognition accuracy of 95.9%.

addition, the new approach was validated with t

one shot learning paradigm with comparable resu

to those reported in 2012. In a validation experimen

the gestures were used to control a mobile servirobot and a robotic arming a laboratory chemist

experiment. Effective control policies were selected

achieve optimal performance for the present

gestural control system through comparison of ta

completion time between different control modes.

28 EBA-19 Controlling a

Human

Computer

Interface System

With a Novel

ClassificationMethod that Uses

Electrooculograph

y Signals

2014 Electrooculography (EOG) signals can be used

control humancomputer interface (HCI) systems,

properly classified. The ability to measure and proce

these signals may help HCI users to overcome many

the physical limitations and inconveniences in dai

life. However, there are currently no effectimultidirectional classification methods for monitorin

eye movements. Here, we describe a classificatio

method used in a wireless EOG-based HCI device f

detecting eye movements in eight directions. Th

device includes wireless EOG signal acquisiti

components, wet electrodes and an EOG sign

classification algorithm. The EOG classificati

algorithm is based on extracting features from t




19

electrical signals corresponding to eight directions

eye movement (up, down, left, right, up-left, down-le

up-right, and down-right) and blinking. T

recognition and processing of these eight differe

features were achieved in real-life condition

demonstrating that this device can reliably measu

the features of EOG signals. This system and

classification procedure provide an effective methfor identifying eye movements. Additionally, it may

applied to study eye functions in real-life conditions

the near future.

29

EWA-01 The Generic

Design of a High-

Traffic Advanced

Metering

Infrastructure

Using Zigbee

2014 A multi-interface Zigbee building area netwo

(MIZBAN) for a high-traffic advanced meterin

infrastructure (AMI) for high-rise buildings w

developed. This supports meter management functio

such as Demand Response for smart grid application

To cater for the high-traffic communication in the

building area networks (BANs), a multi-interfa

management framework was defined and designed

coordinate the operation between multiple interfacbased on a newly defined tree-based mesh (T-Mes

Zigbee topology, which supports both mesh and tr

routing in a single network. To evaluate MIZBAN,

experiment was set up in a five-floor building. Bas

on the measured data, simulations were performed

extend the analysis to a 23-floor building. The

revealed that MIZBAN yields an improvement

application-layer latency of the backbone and the flo

network by 75% and 67%, respectively. This pap

provides the design engineer with sev

recommendations for a generic MIZBAN desig

which will fulfill the requirement for demand responby the U.S. government, i.e. a latency of less than 0.

s.

30

EWA-02 A Reconfigurable

Smart Sensor

Interface for

Industrial

WSN in IoT

Environment

2014 A sensor interface device is essential for sensor da

collection of industrial wireless sensor networ

(WSN) in IoT environments. However, the curre

connect number, sampling rate, and signal types

sensors are generally restricted by the devic

Meanwhile, in the Internet of Things (Io

environment, each sensor connected to the device

required to write complicated and cumbersome da

collection program code. In this paper, to solve theproblems, a new method is proposed to design

reconfigurable smart sensor interface for industr

WSN in IoT environment, in which compl

programmable logic device (CPLD) is adopted as t

core controller. Thus, it can read data in parallel an

in real time with high speed on multiple differe

sensor data. The standard ofIEEE1451.2 intellige

sensor interface specification is adopted for th




20

design. It comprehensively stipulates the smart sens

hardware and software design framework an

relevant interface protocol to realize the intellige

acquisition for common sensors. A new solution

provided for the traditional sensor data acquisition

The device is combined with the newest CPL

programmable technology and the standard

IEEE1451.2 intelligent sensspecification.Performanceoftheproposedsystemisveri

edandgoodeffectsareachievedin practical application

IoT to water environment monitoring.

31

EWA-03 Automated

Irrigation System

Using a Wireless

Sensor Network

and GPRS

Module

2014 An automated irrigation system was developed

optimize water use for agricultural crops. The syste

has a distributed wireless network of soil-moisture an

temperature sensors placed in the root zone of t

plants. In addition, agate way unit handles sens

information, triggers actuators, and transmits data

a web application. An algorithm was developed wi

threshold values of temperature and soil moisture th

was programmed into a microcontroller-basgateway to control water quantity. The system w

powered by photovoltaic panels and had a dupl

communication link based on a cellular-Intern

interface that allowed for data inspection an

irrigation scheduling to be programmed through

web page. The automated system was tested in a sa

crop field for 136 days and after savings of up to 90

compared with traditional irrigation practices of t

agricultural zone was achieved. Three replicas of t

automated system have been used successfully in oth

places for 18 months. Because of its energy autonom

and low cost, the system has the potential to be usefin water limited geographically isolated areas

32 EWA-04 RAMSES: RFID

Augmented

Module

for Smart

Environmental

Sensing

2014 This paper presents radio frequency identificati

(RFID) augmented module for smart environment

sensing (RAMSES), which is a fully passive device wi

sensing and computation capabilities conceived

explore novel and unconventional RFID application

RAMSES implements an RF energy-harvesting circu

enhanced by a dc-dc voltage booster in silicon-o

insulator technology, an ultralow-pow

microcontroller, temperature, light, and accelerati

sensors, and new-generation I2C-RFID chip wirelessly deliver sensor data to standard RFID EP

global Class-1 Generation-2 readers A prelimina

RAMSES prototype, fabricated on a printed circu

board using low-cost off-the-shelf discrete componen

has been extensively tested through experimen

conducted both in lab and real-world applicati

scenarios. The achieved results have demonstrated t

ability of RAMSES to harvest the RF energy emitt




21

by an interrogator placed up to 10 move distance an

autonomously perform sensing, computation, and da

communication. To our knowledge, this is the longe

range ever reported for fully passive RFID sensor

Furthermore, for applications requiring larg

operating distances, RAMSES provides also a batter

assisted passive mode yielding up to 2

mcommunication range.33 EWA-05 Fluid Embeddable

Coupled Coil

Sensor for

Wireless pH

Monitoring in a

Bioreactor

2014 A passive embeddable coupled coil sensor for remo

bioprocess pH monitoring is described. The sensor

sterilized able, able to operate in a fluid medium an

small enough to fit inside a small bioreactor or te

tube. It consists of a planar spiral inductor connect

parallel to a visitorforming an LC resonant circuit.

pH combination electrode made of an iridium/iridiu

oxide sensing electrode and a silver/silver chlori

reference electrode is connected parallel to the visito

A potential difference change across the electrodes d

top variation of the medium changes the voltag

dependent capacitance and shifts the resonafrequency of the sensor. An interrogator coil

inductively coupled to the sensor coil and remote

tracks the resonant frequency of the sensor. Flori

fluid monitoring, the sensor is encapsulated in

manner that reduces the influence of the permittivi

and conductivity of the medium. The senso

calibrated over 212 pH range, exhibits a rap

response with 2.477-MHz/pH sensitivity. The sens

was used for remote pH monitoring

Yarrowialipolytica and Saccharomyces cerevisi

fermentation in a shake flask over63 and 25

respectively. The experiments demonstrate that tmedium pH can be monitored repeatedly with

accuracy of.08 ph.

34

EWA-06 An Integrated

System for

Regional

Environmental

Monitoring and

Management

Based on Internet

of Things

2014 Climate change and environmental monitoring an

management have received much attention recentl

and an integrated information system (IIS)

considered highly valuable. This paper introduces

novel IIS that combines Internet of Things (IoT

Cloud Computing, Geo informatics [remote sensin

(RS), geographical information system (GIS), an

global positioning system (GPS)], and e-Science f

environmental monitoring and management, with case study on regional climate change and

ecological effects. Multi-sensors and web services we

used to collect data and other information for t

perception layer; both public networks and priva

networks were used to access and transport mass da

and other information in the network layer. The k

technologies and tools include real-time operation

database (RODB); extractiontransformationloadi




22

(ETL); on-line analytical processing (OLAP) an

relational OLAP (ROLAP); naming, addressing, an

profile server (NAPS); application gateway (AG

application software for different platforms and tas

(APPs); IoT application infrastructure (IoT-AI); G

and e-Science platforms; and representational sta

transfer/Java database connectivity (Restful/JDBC

Application Program Interfaces (APIs) weimplemented in the middleware layer of the IIS. T

application layer provides the functions of storin

organizing, processing, and sharing of data and oth

information, as well as the functions of applications

environmental monitoring and management. T

results from the case study show that there is a visib

increasing trend of the air temperature in Xinjian

over the last 50 years

35 EWA-07 Teaching RFID

Information

Systems Security

2014 The future cyber security workforce nee

radiofrequency identification (RFID) informati

systems security (INFOSEC) and threat modeli

educational materials. A completer RFID securicourse with new learning materials and teachi

strategies is presented here. A new RFID Referen

Model is used in the course to organize discussion

RFID, much as the open systems interconnection (OS

model is used in a computer networking cour

Students use a general-purpose threat modeli

process named STRIDE and a risk analysis mod

named DREAD to determine and to mitigate securi

risks. Class modules on topics such as the thre

modeling process and privacy can be integrated in

fourth-year undergraduate or first-year graduate-lev

computer science and computer engineering courssuch as network security, wireless security, comput

networks, sensor/RFID networks, or netwo

performance

36 EWA-08 EasySMS: A

Protocol for End-

to-End

Secure

Transmission of

SMS

2014 Nowadays, short message service (SMS) is being us

in many daily life applications, including healthca

monitoring, mobile banking, mobile commerce, and

on. But when we send an SMS from one mobile phon

to another, the information contained in the SM

transmit as plain text. Sometimes this information m

be confidential like account numbers, password

license numbers, and so on, and it is a major drawbato send such information through SMS while t

traditionalisms service does not provide encryption

the information before its transmission. In this pape

we propose an efficient and secure protocol call

Easy SMS, which provides end-to end secu

communication through SMS between end users. T

working of the protocol is presented by considerin

two different scenarios. The analysis of the propos




23

protocol shows that this protocol is able to preve

various attacks, including SMS disclosure, over the a

modification, replay attack, man-in-the middle attac

and impersonation attack. The Easy SMS protoc

generates minimum communication and computati

overheads as compared with existing SMS Sec an

PK-SIM protocols. On An average, the Easy SM

protocol reduces 51% and 31% of the bandwidconsumption and reduces 62% and 45% of messa

exchanged during the authentication process

comparison to SMS Sec and PK-SIM protoco

respectively. Authors claim that Easy SMS is the fir

protocol completely based on the symmetric k

cryptography and retain original architecture

cellular network.

37

EWA-09 Relay-Assisted

Wireless

Communication

Systems in

Mining VehicleSafety

Applications

2014 Relays enabled with multiuser MIMO techniques ha

great potential to mining vehicle safety application

However, they are yet to be practical due to hig

scheduling overhead immobile, radio-unfriend

mining environments. A new decentralized relaassisted multiuser MIMO approach is proposed, whi

cuts the overhead by 80% and enables relay-assist

multiuser MIMO to be implemented in practice. Th

approach is a new distributed participatory downlin

transmission method, where both the relays an

destinations participate in the scheduling decisions.

new recursive algorithm is also developed to optimal

quantize the channel conditions of the vehicle

thereby minimizing the feedback requiremen

Analytical results, confirmed by simulations, show th

the proposed approach is able to achieve97.6% of t

sum-rate upper bound of the network, using only thrbits to characterize the channel condition of ea

vehicle. In terms of throughput, the propos

decentralized scheme can perform 45.2% better tha

the existing centralized scheme. The propos

approach is compatible with industrial communicati

standards and can be implemented with commerci

industrial communication systems.




24

38

EWA-10 Accurate Human

Navigation Using

Wearable

Monocular Visual

and Inertial

Sensors

2014 This paper presents a novel visual-inertial integrati

system for human navigation in free-livin

environments, where the measurements from wearab

inertial and monocular visual sensors are integrate

The predestinated orientation, obtained from magn

angular rate, and gravity sensors, issued to estima

the translation based on the data from the visual an

inertial sensors. This has a significant effect on tperformance of the fusion sensing strategy and mak

the fusion procedure much easier, because t

gravitational acceleration can be correctly remov

from the accelerometer measurements before t

fusion procedure, where a linear Kalman filter

selected as the fusion estimator. Furthermore, the u

of predestinated orientation can help to elimina

erroneous point matches based on the properties of t

pure camera translation and thus the computation

requirements can be significantly reduced compar

with the Random Sample Consensus algorithm.

addition, an adaptive-frame rate single camera selected to not only avoid motion blur based on t

angular velocity and acceleration after compensatio

but also to make an effect called visual zero-veloci

update for the static motion. Thus, it can recover

more accurate baseline and meanwhile reduce t

computational requirements. In particular,

absolute scale factor, which is usually lost

monocular camera tracking, can be obtained b

introducing it into the estimator. Simulation an

experimental results are presented for differe

environments with different types of movement an

the results from a Pioneer robot are used demonstrate the accuracy of the proposed method.

39

EWA-11 Using Smart-

Phones and Floor

Plans for Indoor

Location Tracking

2014 We implement pedestrian dead reckoning (PDR) f

indoor localization. With a waist-mounted PDR bas

system one smart-phone, we estimate the users st

length that utilizes the height change of the waist bas

on the Pythagorean Theorem. We propose a ze

velocity update (ZUPT) method to address sensor dr

error: Simple harmonic motion and a low-pa

filtering mechanism combined with the analysis of ga

characteristics. This method does not require traini

to develop the step length model. Exploiting t

geometric similarity between the user trajectory an

the floor map, our map matching algorithm includ

three different filters to calibrate the direction erro

from the gyro using building floor plans. A slidin

window-based algorithm detects corners.The syste

achieved 98% accuracy in estimating user walkin

distance with a waist-mounted phone and 97

accuracy when the phone is in the users pocket. ZUP




25

improves sensor drift error (the accuracy drops fro

98% to 84% without ZUPT) using 8 Hzas the cut-o

frequency to filter out sensor noise. Corner leng

impacted the corner detection algorithm. In o

experiments, the overall location error is about 0.

meter.

40

EWA-12 Understanding

Taxi Service

Strategies

From Taxi GPS

Traces

2014 Taxi service strategies, as the crowd intelligence

massive taxi drivers, are hidden in their historic

time-stamped PS traces. Mining GPS traces

understand the service strategiesof skilled taxi drive

can benefit the drivers themselves, passengers, and ci

planners in a number of ways. This paper intends

uncover the efficient and inefficient taxi servistrategies based on a large-scale GPS historic

database of approximately 7600taxis over one year in

city in China. First, we separate the GPStraces

individual taxi drivers and link them with the revenu

generated. Second, we investigate the taxi servi

strategies from three perspectives, namely, passenge

searching strategies, passenger-delivery strategies, an

service-region preference. Finally, were present t

taxi service strategies with a feature matrix an

evaluate the correlation between service strategies an

revenue, informing which strategies are efficient

inefficient. We predict the revenue of taxi drivebased on their strategies and achieve a predicti

residual as less as 2.35 RMB/h,1 which demonstrat

that the extracted taxi service strategies with o

proposed approach well characterize the drivi

behavior and performance of taxi drivers.

41 EMA-01 Combined AFS

and DYC Control

of

Four-Wheel-

Independent-

Drive ElectricVehicles

over CAN

Network with

Time-Varying

Delays

2014 This paper deals with the lateral motion contr

offour-wheel-independent-drive electric vehicl

(4WID-EVs) subject to onboard network-induced tim

delays. It is well known that the in-vehicle netwo

and x-by-wire technologies have considerab

advantages over the traditional point-to-poicommunication. However, on the other hand, the

technologies would also induce the probability of tim

varying delays, which would degrade contr

performance or even deteriorate the system. To enj

the advantages and deal with in-vehicle netwo

delays, anH-based delay-tolerant linear quadra

regulator (LQR) control method is proposed in th

paper. The problem is described in the form of a




26

augmented discrete-time model with uncerta

elements determined by the delays. Delay uncertainti

are expressed in the form of a polite using Tayl

series expansion. To achieve good steady-sta

response, a generalized proportionalintegral contr

approach is adopted. The feedback gains can b

obtained by solving a sequence of linear matr

inequalities (LMIs). Co-simulations with Simulink anCarsem demonstrate the effectiveness of the propos

controller. Comparison with a conventional LQ

controller is also carried out to illustrate the streng

of explicitly dealing with in-vehicle network delays.

42

EMA-02 Using a Head-up

Display-Based

Steady-

StateVisually

Evoked Potential

Brain

ComputerInterface to Control a

Simulated Vehicle

2014 In this paper, we propose a new steady-state visual

evoked potential (SSVEP) braincomputer interfa

(BCI) with visual stimuli presented on a windshield v

a head-up display, andwe apply this BCI

conjunction with an alpha rhythm to control

simulated vehicle with a 14-DOF vehicle dynami

model. Alinear discriminant analysis classifier applied to detect the alpha rhythm, which is used

control the starting and stopping of the vehicle. T

classification models of the SSVEP BCI with thr

commands (i.e., turning left, turning right, and goi

forward) are built by using a support vector machi

with frequency domain features. A real-time brai

controlled simulated vehicle is developed and tested b

using four participants to perform a driving ta

online, including vehicle starting and stopping, la

keeping, avoiding obstacles, and curve negotiatio

Experimental results show the feasibility of using t

human mind alone to control a vehicle, at least fsome users.

43

EMA-03 A Cooperative

Heterogeneous

Mobile Wireless

Mechatronic

System

2014 This paper describes a framework for controlling

heterogeneous wireless robotic network consisting

aerial and ground vehicles. By use of the ter

heterogeneous, we imply the synergy of multip

robotic platforms characterized by different dynami

and specialized sensing capabilities. Two ma

scenarios concerning wireless communications a

presented: 1) a decentralized connectivity strategy

which a mesh of ground mobile routers swarms in

cluttered environment maintaining communicaticonstraints based on spring-mass virtual physic

potential functions, and routing optimization and 2)

autonomous communications relay in GPS-deni

environments via antenna diversity andextrem

seeking SNR optimization. For both scenarios, w

validate the proposed methodologies by numeric

simulations and experiments. One important feature

our test bed is that it can be used for both indoor an




27

outdoor operations.

44

EMA-04 Smartphone-

Based Vehicle-to-

Driver/Environme

nt Interaction

System for

Motorcycles

2014 This letter concerns the definition and t

implementation of an add-on interaction system f

motorcycles. The systemconsistsofa vehicle-t

driveranda vehicle-t

environmentcommunicationmechanism, which

based on a smartphone core and ona wirele

Bluetooth medium. The system is focused to increathesafety level of a motorcycle and it is constituted b

a vehicle witha CAN bus, a compact embedd

electronic unit implementing a CAN-to-Bluetoo

gateway, a smartphone and a Bluetooth helmet. T

driver-to-vehicle interaction is based on an aud

interaction located at helmet level. The driver-t

environment is represented by communication via t

HTTP protocol. The vocal synthesis, the spee

recognition, and the gateway to the web server a

implemented on the smartphone. This letter presen

the hardware architecture, the software architectu

and some case-study implementation issues. Aevaluation of the critical aspects of the system is al

provided.

45

EMA-05 Robust Sliding

Mode-Based

Learning Control

for

Steer-by-Wire

Systems in

Modern Vehicles

2014 In this paper, a robust sliding mode learnin

control(SMLC) scheme is developed for steer-by-wi

(SbW) systems. Itis shown that a SbW system wi

uncertain system parametersand unknown extern

disturbance from the interactions between the tir

and the variable road surface can be modeled as

second-order system. A sliding mode learnin

controller can then be designed to drive both t

sliding variable and the tracking error between tsteered front-wheel angle and the hand-whe

reference angle to asymptotically converge to zer

The proposedSMLC scheme exhibits many advantag

over the existingschemes, including: 1) no informatio

about vehicle parameteruncertainties and self-alignin

torque variations is required for controller design; an

2) the control algorithm is capable

efficientlyadjusting the closed-loop response based




28

the most recenthistory of the closed-loop stability an

ensuring a robust steeringperformance. Bo

simulations and experiments are presented toshow t

excellent steering performance and the effectivene

ofthe proposed learning control methodology

46

EMA-06 Estimating Speed

Using a Side-

Looking

Single-Radar

Vehicle Detector

2014 This paper presents a side-looking single-bea

microwavevehicle detector (VD) system for estimati

of per-vehiclespeed and length. The proposed V

system is equipped with a 2-Drange Doppl

frequency-modulated continuous-wave (FMCW)rad

using a squint angle. The associated Fourier process

usesan inverse synthetic aperture radar (ISAalgorithm to extract range and speed data for ea

vehicle using a single-beam FMCWradar. T

simulation and experimental results show accura

estimations of vehicle speed and length. T

measurement errors of speed and length we

approximately 4 km/h and 1 respectively. T

proposed method has excellent detection capability f

small moving targets, such as bikes and pedestrians,

speeds down to 5 km/h. A commercial 10.6-GHz rad

with signal processing modifications was used in t

experiments

47

EMA-07 Portable Roadside

Sensors for

Vehicle Counting,

Classification, and

Speed

Measurement

2014 This paper focuses on the development of a portab

roadside magnetic sensor system for vehicle countin

classification, and speed measurement. The sens

system consists of wireless anisotropic magne

devices that do not require to be embedded in t

roadwaythe devices are placed next to the roadw

and measure traffic in the immediately adjacent lan

An algorithm based on a magnetic field model

proposed to make the system robust to the erro

created by larger vehicles driving in the nonadjace

lane. These false calls cause an 8% error

uncorrected. The use of the proposed algorithreduces this error to only 1%. Speed measurement

based on the calculation of the cross correlatio

between longitudinally spaced sensors. Fa

computation of the cross correlation is enabled b

using frequency-domain signal processing techniqu

An algorithm for automatically correcting for a

small misalignment of the sensors is utilized. A hig

accuracy differential Global Positioning Systemis us




29

as a reference to measure vehicle speeds to evalua

the accuracy of the speed measurement from the ne

sensor system. The results show that the maximu

error of the speed estimates is less than 2.5% over t

entire range of 527 m/s (1160 mi/h).Vehic

classification is done based on the magnetic length an

an estimate of the average vertical magnetic height

the vehicle.Vehicle length is estimated from tproduct of occupancy andestimated speed. T

average vertical magnetic height is estimated using tw

magnetic sensors that are vertically spaced by 0.2

m.Finally, it is shown that the sensor system can

used to reliably count the number of right turns at

intersection, with an accuracy of 95%. The develop

sensor system is compact, portable, wireless, an

inexpensive. Data are presented from a large numb

of vehicles on a regular busy urban road in the Tw

Cities, MN, and USA.

48 EGA-01 A Gesture

LearningInterface for

Simulated Robot

Path Shaping

With a Human

Teacher

2014 Recognition of human gestures is an active area

research integral for the development of intuitihumanmachine interfaces for ubiquitous computi

and assistive robotics. In particular, such systems a

key to effective environmental designs that facilita

aging in place. Typically, gesture recognition takes t

form of template matching in which the hum

participants expected to emulate a choreograph

motion as prescribed bythe researchers.

corresponding robotic action is then a on

tonemapping of the template classification to a libra

of distinct responses. In this paper, we explore

recognition scheme basedon the growing neural g

(GNG) algorithm that places no initialconstraints othe user to perform gestures in a specific wa

Motiondescriptors extracted from sequential skelet

depth data areclustered by GNG and mapped direct

to a robotic response thatis refined throu

reinforcement learning. A simple good/b

rewardsignal is provided by the user. This pap

presents results thatshow that the topology-preservin

quality of GNG allows generalizationbetween gestur

commands. Experimental results usingan automat

reward are presented that compare learnin

resultsinvolving single nodes versus results involvi

the influence of node neighborhoods. Althoug

separability of input data influences the speed

learning convergence for a given neighborhood radiu

it is shown that learning progresses toward emulatio

of an associative memory that maps input gesture

desired action




30

49

EGA-02 Automatic User

State Recognition

for Hand Gesture

Based Low-Cost

Television Control

System

2014 Hand gesture based television (TV) control

attracting more and more researchers. Most

existing works focus on the hand gesture recognitio

algorithm and the corresponding user interface, wh

the power consumption or computational cost is n

considered carefully. In practice, keeping the came

device and the gesture recognition module running

the time often costs much energy. Till now, femethods have been reported to solve this problem

This paper proposes an automatic user sta

recognition scheme to recognize the TV user's sta

and activate the camera-based gesture recogniti

module only when the user is trying to control the T

Specifically, the user's behavior active or not

detected by lowcostsensors, the user's gaze watchi

TV or not is tracked by theface-based view detectio

and the user's state is then decided according to

finite-state machine composed of four states: Absen

Other Action, Controlling, and Watching. T

prototypes based on an ultrasonic distance sensarray, a red-green-blue(RGB) camera, and a dep

camera are implemented and tested. The results sho

that the proposed scheme can effectively reduce t

power consumption or computational cost of t

original hand gesture based control schemes1

50

EGA-03 Computer-

Assisted Culture

Learning in an

Online

Augmented

Reality

EnvironmentBased on Free-

Hand Gesture

Interaction

2014 The physical-virtual immersion and real-tim

interaction play an essential role in cultural an

language learning. Augmentedreality (AR) technolo

can be used to seamlessly merge virtual objects wi

real-world images to realize immersion

Additionally,computer vision (CV) technology c

recognize free-hand gestures from live images enable intuitive interactions. Therefore, w

incorporate the latest AR and CV algorithms into

Virtual English Classroom, called VECAR, to promo

immersive and interactive language learning. B

wearing a pair of mobile computing glasses, users ca

interact with virtual contents in a three-dimension

space by using intuitive free-hand gestures. We desig

three cultural learning activities that introdu

students to authentic cultural products and ne

cultural practices, and allow them to examine vario

cultural perspectives. The objectives of the VECA

are to make cultural and language learning appealin

improve cultural learning effectiveness, and enhan

interpersonal communication between teachers an

students

51 EGA-04 A Low-

Computational

Approach on Gaze

Estimation With

2014 Among various approaches to eye tracking system

light-reflection based systems with non-imagi

sensors, e.g. Photodiodes or phototransistors, a

known to have relatively low complexity; yet, th




31

Eye Touch System provide moderately accurate estimation of the point

gaze. In this paper, a low-computational approach o

gaze estimation is proposed using the Eye Tou

system, which is a light-reflection based eye tracki

system, previously introduced by the authors. Bas

on the physical implementation of Eye Touch, t

sensor measurements are now utilized in low

computational least-squares algorithms to estimaarbitrary gaze directions, unlike the existing lig

reflection-based systems, including the initial E

Touch implementation, where only limited predefin

regions were distinguished. The system also utilizes a

effective pattern classification algorithm to be able

perform left, right, and double clicks based

respective eye winks with significantly high accurac

In order to avoid accuracy problems for sensiti

sensor biasing hardware, arobust custo

microcontroller-based data acquisition syste

isdeveloped. Consequently, the physical size and co

of the overallEye Touch system are considerabreduced while the powerefficiency is improved. T

results of the experimental analysisover numero

subjects clearly indicate that the proposed eyetrackin

system can classify eye winks with 98% accuracy, an

attain an accurate gaze direction with an avera

angular errorof about 0.93. Due to its lightweig

structure, competitiveaccuracy and low-computation

requirements relative to videobasedeye trackin

systems, the proposed system is a promising huma

computer interface for both stationary and mob

eyetracking applications.

52

EGA-05 Multi-touchGesture-Based

Authentication

2014 This paper investigates multitouch gestures fuserauthentication on touch sensitive devices.

canonical set of22 mult-itouch gestures was defin

using characteristics of hand and finger movemen

Then, a multi-touch gesture matching algorith

robust to orientation and translation was develope

Two different studies were performed to evaluate t

concept. First, a single session experiment w

performed in order to explore feasibility of mu

itouch gestures for user authentication. Testing on t

canonical set showed that the system could achie

good performance in terms of distinguishing betwe

gestures performed by different users. In addition, t

tests demonstrated desirable alignment of usabili

and security as gestures that were more secure from

biometric point of view were rated as more desirab

in terms of ease, pleasure, and excitement. Second,

study involving a three-session experiment w

performed. Results indicate that biometr

information gleaned from a short user-devi




32

interaction remains consistent across gaps of sever

days, though there is noticeable degradation

performancewhen the authentication is perform

over multiple sessions.In addition, the study show

that user-defined gestures yield the highest recogniti

rate among all other gestures, whereas the use

multiple gestures in a sequence aids in boostin

verification accuracy. In terms of memorability, tstudy showed that it is feasible for a user to recall use

defined gestural passwords and it is observed that t

recall rate increases over time. It is also noticed th

performing a user-defined gesture over a customiz

background image does result in higher verificatio

performance. In terms of usability, the study show

that users did not have difficulty in performing mu

itouch gestures as they all rated each gesture as easy

perform.

53

EGA-06 A Hand Gesture

Recognition

Framework andWearable

Gesture-Based

Interaction

Prototype for

Mobile Devices

2014 An algorithmic framework is proposed to proce

accelerationand surface electromyography (SEMG

signals for gesture recognition. It includes a novsegmentation scheme, a score-based sensor fusio

scheme, and two new features. A Bayes linear classifi

and an improved dynamic time-warping algorithm a

utilized

ieee 2014 project list by spectrum solutions pondicherry

Documents