Abstract
We present ThumbSlide, which is an interaction technique for a smartwatch that prevents occlusion caused by the user's finger; the technique realizes continuous manipulation by estimating the moving amount of the thumb. Combining with any determining operation (e.g., clench of the hand), our technique enables the user to select a target by only the hand that is wearing a smartwatch. Our system estimates the moving amount of the thumb by muscles' expansion caused by its movement. The muscle expansion is measured by a specially designed wrist-worn sensor device. Moreover, the device can recognize the clench of the hand as an instantaneous change of the wrist's contour. In this paper, we show the implementation of ThumbSlide and its example applications.
Original language | English |
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Title of host publication | CHI EA 2016: #chi4good - Extended Abstracts, 34th Annual CHI Conference on Human Factors in Computing Systems |
Publisher | Association for Computing Machinery |
Pages | 2403-2409 |
Number of pages | 7 |
Volume | 07-12-May-2016 |
ISBN (Electronic) | 9781450340823 |
DOIs | |
Publication status | Published - 2016 May 7 |
Externally published | Yes |
Event | 34th Annual CHI Conference on Human Factors in Computing Systems, CHI EA 2016 - San Jose, United States Duration: 2016 May 7 → 2016 May 12 |
Other
Other | 34th Annual CHI Conference on Human Factors in Computing Systems, CHI EA 2016 |
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Country/Territory | United States |
City | San Jose |
Period | 16/5/7 → 16/5/12 |
Keywords
- Gestures
- On-body interaction
- Photo-reflectivity
- Wearable computing
- Wrist's contour
ASJC Scopus subject areas
- Human-Computer Interaction
- Computer Graphics and Computer-Aided Design
- Software