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ReachMedia on-the-move interaction with everyday objects Assaf Feldman, Emmanuel Muguia Tapia, Sajid Sadi, Pattie Maes and Chris Schmandt The Media Laboratory Massachusetts Institute of Technology

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Page 1: ReachMedia - Massachusetts Institute of Technologyalumni.media.mit.edu/~emunguia/pdf/reachmedia.pdf · 2016-01-04 · ReachMedia on-the-move interaction with everyday objects Assaf

ReachMedia

on-the-move interaction with everyday objects

Assaf Feldman, Emmanuel Muguia Tapia, Sajid Sadi, Pattie Maesand Chris Schmandt

The Media LaboratoryMassachusetts Institute of Technology

Page 2: ReachMedia - Massachusetts Institute of Technologyalumni.media.mit.edu/~emunguia/pdf/reachmedia.pdf · 2016-01-04 · ReachMedia on-the-move interaction with everyday objects Assaf
Page 3: ReachMedia - Massachusetts Institute of Technologyalumni.media.mit.edu/~emunguia/pdf/reachmedia.pdf · 2016-01-04 · ReachMedia on-the-move interaction with everyday objects Assaf

Question

Can we merge the virtual world with the physical

world?

Page 4: ReachMedia - Massachusetts Institute of Technologyalumni.media.mit.edu/~emunguia/pdf/reachmedia.pdf · 2016-01-04 · ReachMedia on-the-move interaction with everyday objects Assaf

Not enough

pixels

Too many clicks

An Interface Problem

Page 5: ReachMedia - Massachusetts Institute of Technologyalumni.media.mit.edu/~emunguia/pdf/reachmedia.pdf · 2016-01-04 · ReachMedia on-the-move interaction with everyday objects Assaf

Requirements

• Natural and seamless interaction

• Hands and eyes free

• Socially acceptable

Page 6: ReachMedia - Massachusetts Institute of Technologyalumni.media.mit.edu/~emunguia/pdf/reachmedia.pdf · 2016-01-04 · ReachMedia on-the-move interaction with everyday objects Assaf

IO

Input – RFID,Gestures,Keypad.

Output –audio, text

The smart phone as a general interface

Page 7: ReachMedia - Massachusetts Institute of Technologyalumni.media.mit.edu/~emunguia/pdf/reachmedia.pdf · 2016-01-04 · ReachMedia on-the-move interaction with everyday objects Assaf

Touch based interaction with objects

Page 8: ReachMedia - Massachusetts Institute of Technologyalumni.media.mit.edu/~emunguia/pdf/reachmedia.pdf · 2016-01-04 · ReachMedia on-the-move interaction with everyday objects Assaf

Gestures

Slight flick for menu navigation

Select

Next Previous

- Socially acceptable.

Page 9: ReachMedia - Massachusetts Institute of Technologyalumni.media.mit.edu/~emunguia/pdf/reachmedia.pdf · 2016-01-04 · ReachMedia on-the-move interaction with everyday objects Assaf

Demo

Page 10: ReachMedia - Massachusetts Institute of Technologyalumni.media.mit.edu/~emunguia/pdf/reachmedia.pdf · 2016-01-04 · ReachMedia on-the-move interaction with everyday objects Assaf

RFID

Multi modal Multi modal interface via interface via accessories accessories

MITe receiver

• Objects ID• Gestural input:

-Next-Previous-Select

RFID RFID Augmented Augmented

physical physical objectsobjects

Audio output:•Earcons •Voice menus

Interaction Interaction mediation via mediation via Mobile deviceMobile device

Object ID, user input

Audio & XML Content

Context Context ManagerManager

Page 11: ReachMedia - Massachusetts Institute of Technologyalumni.media.mit.edu/~emunguia/pdf/reachmedia.pdf · 2016-01-04 · ReachMedia on-the-move interaction with everyday objects Assaf

Hardware - Sensors

Accelerometers (House_n MITEs

–Cheap

–Small

–Low power

• RFID– Cheap– Great Context

Page 12: ReachMedia - Massachusetts Institute of Technologyalumni.media.mit.edu/~emunguia/pdf/reachmedia.pdf · 2016-01-04 · ReachMedia on-the-move interaction with everyday objects Assaf

• 25 features - Time domain feature extraction

– Cross correlation (3)

– Power (3)

– Turning points (18)

∑−

=

=1

0

21)(n

ii

an

aP

ji AA

jiji

AAAA

σσρ

),cov(),( =

Signal processing

Page 13: ReachMedia - Massachusetts Institute of Technologyalumni.media.mit.edu/~emunguia/pdf/reachmedia.pdf · 2016-01-04 · ReachMedia on-the-move interaction with everyday objects Assaf

Classification

• Online (Real Time) classification

• Good accuracy using Naïve Bayes and HMMs

• Preliminary results ~98% accuracy: Previous Next Select Noise

Previous 0.97101 0.014493 0 0.014493Next 0 1 0 0

Select 0 0 1 0Noise 0.017241 0 0 0.98276

Trut

h

Page 14: ReachMedia - Massachusetts Institute of Technologyalumni.media.mit.edu/~emunguia/pdf/reachmedia.pdf · 2016-01-04 · ReachMedia on-the-move interaction with everyday objects Assaf

The big picture

• Integrate digital world (information & services) and physical world (physical objects/environment)

• Make interfaces more responsive and proactive (objects & environment monitor user and (proactively) present information & services relevant to user’s current needs/interests)

Page 15: ReachMedia - Massachusetts Institute of Technologyalumni.media.mit.edu/~emunguia/pdf/reachmedia.pdf · 2016-01-04 · ReachMedia on-the-move interaction with everyday objects Assaf

Ambient Intelligence

3rd floor