arturas kaklauskas - trans-disciplinary knowledge platform - sensors, biometrics and big data
Post on 20-Oct-2014
291 views
DESCRIPTION
Action COST TU1204 - WG2 meeting, Madrid, 2013-12-16TRANSCRIPT
![Page 1: Arturas Kaklauskas - Trans-disciplinary knowledge platform - sensors, biometrics and big data](https://reader034.vdocument.in/reader034/viewer/2022042518/544536e8afaf9f1c098b458d/html5/thumbnails/1.jpg)
Trans-disciplinary Knowledge Platform: Sensors, Biometrics and Big Data
(information, explicit and tacit knowledge, good/best practice)
Analytics for Services
Prof. PhD. DrSc. A.Kaklauskas, Chairman of the Department of Construction Economics and Property Management, Director of the Institute of Internet and Intelligent Technologies, Vilnius Gediminas Technical University, Vilnius, Lithuania
![Page 2: Arturas Kaklauskas - Trans-disciplinary knowledge platform - sensors, biometrics and big data](https://reader034.vdocument.in/reader034/viewer/2022042518/544536e8afaf9f1c098b458d/html5/thumbnails/2.jpg)
Data Rich World includes (see ANNEX 2 - Chair Presentation): - SENSORS (Smart Meters, Smart Phones/Tablets, GPS Devices/CCTV, Weather Sensors, Building Sensors). - ANALYTICS (Algorithims, Closed-Loop Systems, Optimize Consumption, Location Sensing). - SERVICES (Location Services, Crowd Sensing, Traffic Management, Smart Electric Grid, Disaster Management, Security).
![Page 3: Arturas Kaklauskas - Trans-disciplinary knowledge platform - sensors, biometrics and big data](https://reader034.vdocument.in/reader034/viewer/2022042518/544536e8afaf9f1c098b458d/html5/thumbnails/3.jpg)
Internet of Things in the context of Smart Environments and Applications (IERC)
![Page 4: Arturas Kaklauskas - Trans-disciplinary knowledge platform - sensors, biometrics and big data](https://reader034.vdocument.in/reader034/viewer/2022042518/544536e8afaf9f1c098b458d/html5/thumbnails/4.jpg)
Key Trends to Watch in Gartner 2012 Emerging Technologies Hype Cycle
![Page 5: Arturas Kaklauskas - Trans-disciplinary knowledge platform - sensors, biometrics and big data](https://reader034.vdocument.in/reader034/viewer/2022042518/544536e8afaf9f1c098b458d/html5/thumbnails/5.jpg)
Hospital Real-time Sensor Big Data and Staff Decision Support System: • Hospitals actively monitor patients, their location and behaviour using
sensors. • System integrate third-party information sets from sensors, health
information coming from patient records, test results, reports, best practice, journals, doctors, gym, assets, networks, personal sensor systems in real time.
• Experts use predictive analysis in health care primarily to determine which patients are at risk of developing certain conditions, like diabetes, asthma, heart disease, and other lifetime illnesses. Additionally, sophisticated clinical decision support systems incorporate predictive analytics to support medical decision making at the point of care.
• Handheld devices provide staff with patients status, scheduled treatments, activities, and sensor diagnostics.
• The System was also intended to support Emergency Services, Police, Manufacturing, Autonomous Systems and of course Health.
![Page 6: Arturas Kaklauskas - Trans-disciplinary knowledge platform - sensors, biometrics and big data](https://reader034.vdocument.in/reader034/viewer/2022042518/544536e8afaf9f1c098b458d/html5/thumbnails/6.jpg)
Augmented Reality Housing Health and Safety System (VGTU, Lithuania) For inhabitants: http://iti.vgtu.lt/VGTU_Lomonosov/ Recommender Subsystem: http://iti.vgtu.lt/imitacijosmain/simpletable.aspx?sistemid=517 http://iti.vgtu.lt/sveikasbustas/kapateikti.aspx Virtual tour: http://iti.vgtu.lt/imitacijosmain/oana_fatima1.swf
![Page 7: Arturas Kaklauskas - Trans-disciplinary knowledge platform - sensors, biometrics and big data](https://reader034.vdocument.in/reader034/viewer/2022042518/544536e8afaf9f1c098b458d/html5/thumbnails/7.jpg)
Athenian democracy (around 550 BC)
![Page 8: Arturas Kaklauskas - Trans-disciplinary knowledge platform - sensors, biometrics and big data](https://reader034.vdocument.in/reader034/viewer/2022042518/544536e8afaf9f1c098b458d/html5/thumbnails/8.jpg)
Collaborative e-democracy intelligent platform Oficials (public administrations, politicians, ministers, parliamentarians, etc.) and citizens (businessmen, media, local communities, individual citizens, etc.) can collaborate on the development of public policies (courses of action, regulatory measures, laws, and funding priorities).The inhabitants would hold their last voting possibility on the most important public policy issues. Citizens became both co-creators and users of city services and infrastructure.
![Page 9: Arturas Kaklauskas - Trans-disciplinary knowledge platform - sensors, biometrics and big data](https://reader034.vdocument.in/reader034/viewer/2022042518/544536e8afaf9f1c098b458d/html5/thumbnails/9.jpg)
Internet of Things embedded in Internet of Energy applications (IERC)
![Page 10: Arturas Kaklauskas - Trans-disciplinary knowledge platform - sensors, biometrics and big data](https://reader034.vdocument.in/reader034/viewer/2022042518/544536e8afaf9f1c098b458d/html5/thumbnails/10.jpg)
Intelligent Library and Passive House Intelligent System (VGTU, Lithuania)
http://iti.vgtu.lt/ieeppt/
![Page 11: Arturas Kaklauskas - Trans-disciplinary knowledge platform - sensors, biometrics and big data](https://reader034.vdocument.in/reader034/viewer/2022042518/544536e8afaf9f1c098b458d/html5/thumbnails/11.jpg)
Body language and biometrics technologies
![Page 12: Arturas Kaklauskas - Trans-disciplinary knowledge platform - sensors, biometrics and big data](https://reader034.vdocument.in/reader034/viewer/2022042518/544536e8afaf9f1c098b458d/html5/thumbnails/12.jpg)
![Page 13: Arturas Kaklauskas - Trans-disciplinary knowledge platform - sensors, biometrics and big data](https://reader034.vdocument.in/reader034/viewer/2022042518/544536e8afaf9f1c098b458d/html5/thumbnails/13.jpg)
Multimodality
![Page 14: Arturas Kaklauskas - Trans-disciplinary knowledge platform - sensors, biometrics and big data](https://reader034.vdocument.in/reader034/viewer/2022042518/544536e8afaf9f1c098b458d/html5/thumbnails/14.jpg)
Pupil and pupil blinks data base (VGTU, Lithuania)
![Page 15: Arturas Kaklauskas - Trans-disciplinary knowledge platform - sensors, biometrics and big data](https://reader034.vdocument.in/reader034/viewer/2022042518/544536e8afaf9f1c098b458d/html5/thumbnails/15.jpg)
Pulse rate data bases (VGTU, Lithuania)
![Page 16: Arturas Kaklauskas - Trans-disciplinary knowledge platform - sensors, biometrics and big data](https://reader034.vdocument.in/reader034/viewer/2022042518/544536e8afaf9f1c098b458d/html5/thumbnails/16.jpg)
The interdependence linking physiological parameters of students to their learning productivity and the interest in
learning (VGTU, Lithuania)
![Page 17: Arturas Kaklauskas - Trans-disciplinary knowledge platform - sensors, biometrics and big data](https://reader034.vdocument.in/reader034/viewer/2022042518/544536e8afaf9f1c098b458d/html5/thumbnails/17.jpg)
Correlation of relationships between pupil (iris)
diameter and stress level
5
7
9
11
13
15
17
19
34 122110 11 11
6 49 127 18 22 51 89 14 5 94 42 41 31 55 17 10
klausimai
bala
i
1,75
1,76
1,77
1,78
1,79
1,80
1,81
1,82
1,83
1,84
vyzdži
o di
amet
ras
![Page 18: Arturas Kaklauskas - Trans-disciplinary knowledge platform - sensors, biometrics and big data](https://reader034.vdocument.in/reader034/viewer/2022042518/544536e8afaf9f1c098b458d/html5/thumbnails/18.jpg)
![Page 19: Arturas Kaklauskas - Trans-disciplinary knowledge platform - sensors, biometrics and big data](https://reader034.vdocument.in/reader034/viewer/2022042518/544536e8afaf9f1c098b458d/html5/thumbnails/19.jpg)
Biometric computer mouse (VGTU, Lithuania): - temperature, - humidity, - skin conductance, - intensity of pressing, - heart rate. Mouse Events Capture, Collection and Feaure Extraction Subsystem: - speed of mouse pointer’s movement, - acceleration of mouse pointer’s movement, - amplitude of hand tremble, - scroll wheel use, - right- and left-click frequency, - idle time. Biometrcic Finger: - humidity, - electrogalvanic skin conductance, - skin temperature, - heart rate. Blood pressure and heart rate Subsystem: - heart rate, - systolic blood pressure, - diastolic blood pressure.
![Page 20: Arturas Kaklauskas - Trans-disciplinary knowledge platform - sensors, biometrics and big data](https://reader034.vdocument.in/reader034/viewer/2022042518/544536e8afaf9f1c098b458d/html5/thumbnails/20.jpg)
The Recommender System and motivational, educational persistence and social learning theories
and the database of best global practices
The Recommender System will use motivational, educational persistence and social learning theories and
the database of best global practices based on above theories to come up with recommendations for students on
how to improve their learning efficiency.
![Page 21: Arturas Kaklauskas - Trans-disciplinary knowledge platform - sensors, biometrics and big data](https://reader034.vdocument.in/reader034/viewer/2022042518/544536e8afaf9f1c098b458d/html5/thumbnails/21.jpg)
Best learning productivity enhancement recommendations compiled per Maslow‘s Hierarchy of
Needs