Abstract
We present a method to assist pre-Touch on multitouch surfaces using features extracted from the fingertips of the user's hands. Pixel area a feature obtained from the contour of a fingertip is computed and tracked using commodity cameras to obtain the velocity of approaching fingers. We target sound volume control for digital multi-Touch instruments an area where pre-Touch is demonstrated with our approach to approximating velocity of finger taps. We explore other areas of application with velocity and how it can help anticipate user actions in mobile touch displays. In order to evaluate the effectiveness of the proposed system, a system prototype was presented to users. We confirmed the satisfactory results by performing the recognition rate experiment for measuring the blob size according to the touch speed.
| Original language | English |
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| Title of host publication | 2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 1064-1068 |
| Number of pages | 5 |
| ISBN (Electronic) | 9781538616451 |
| DOIs | |
| Publication status | Published - 2017 Nov 27 |
| Event | 2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017 - Banff, Canada Duration: 2017 Oct 5 → 2017 Oct 8 |
Publication series
| Name | 2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017 |
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| Volume | 2017-January |
Other
| Other | 2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017 |
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| Country/Territory | Canada |
| City | Banff |
| Period | 17/10/5 → 17/10/8 |
Bibliographical note
Publisher Copyright:© 2017 IEEE.
All Science Journal Classification (ASJC) codes
- Artificial Intelligence
- Computer Science Applications
- Human-Computer Interaction
- Control and Optimization