1. VANCOUVER, BC
MAY 7-12, 2011
Distinguishing Multiple Smart-Phone
Interactions on a
Multi-Touch Wall Display
Using Tilt Correlation
William Hutama, Peng Song, Chi-Wing Fu, Wooi Boon Goh
{hwilliam,song0083,cwfu,aswbgoh}@ntu.edu.sg

2. OVERVIEW
• Motivation
• Related Work
• Tilt Correlation Method
• Bourne Identity Index
• User Study
• Summary and Future Work
• Acknowledgements

3. MOTIVATION
• Large collaborative
(multi-touch) surface
• Multiplesmart phones by
multiple users
• Context-based personalized
interactions

4. MOTIVATION
• Interactive Music Shop Display
• Public Interactive Bulletin Board
• Social Games

5. MOTIVATION
Challenges:
• How to identify each phone?
• Which one is currently
touching on which position?
• What if the identification fails?
• Concurrent interactions with
multiple users (fingers and
phones)

6. RELATED WORK
• BlueTable: Connecting WirelessMobile Devices on Interactive
Surfaces Using Vision-Based Handshaking (A. D. Wilson and R.
Sarin, 2007)
• UsingMobile Phones to Spontaneous Authenticate and
Interact with Multi-Touch Surfaces (J. Schoning, et al, 2008)
• Poker Surface Card Games (A. S. Shirazi, et al, 2009)

7. RELATED WORK
• BumpApp (http://bu.mp/)
• PhoneTouch: A Technique for Direct Phone Interaction on
Surfaces (D. Schmidt, et al, 2010)

8. TILT CORRELATION
• Use built-in accelerometer on smart phones
• Observe tilt condition dynamically
• Correlate with the phone’s angle on multi-touch surface
• Identify the phone based on the nearest matching temporal
data

9. TILT CORRELATION
Advantages:
• Low cost multi-touch setup
• No extra hardware required
• Easy to implement

10. SUMMARY
• Low cost multi-touch setup
• No extra hardware required
• Easy to implement

11. FUTURE WORK
• Low cost multi-touch setup
• No extra hardware required
• Easy to implement

12. ACKNOWLEDGEMENTS
• This
work is supported by A*STAR SERC grant (No. 092 101
0063)