Abstract
In this paper, we propose a novel technology called "CheekInput" with a head-mounted display (HMD) that senses touch gestures by detecting skin deformation. We attached multiple photo-reflective sensors onto the bottom front frame of the HMD. Since these sensors measure the distance between the frame and cheeks, our system is able to detect the deformation of a cheek when the skin surface is touched by fingers. Our system uses a Support Vector Machine to determine the gestures: pushing face up and down, left and right. We combined these 4 directional gestures for each cheek to extend 16 possible gestures. To evaluate the accuracy of the gesture detection, we conducted a user study. The results revealed that CheekInput achieved 80.45 % recognition accuracy when gestures were made by touching both cheeks with both hands, and 74.58 % when by touching both cheeks with one hand.
Original language | English |
---|---|
Title of host publication | Proceedings - VRST 2017 |
Subtitle of host publication | 23rd ACM Conference on Virtual Reality Software and Technology |
Publisher | Association for Computing Machinery |
Volume | Part F131944 |
ISBN (Electronic) | 9781450355483 |
DOIs | |
Publication status | Published - 2017 Nov 8 |
Event | 23rd ACM Conference on Virtual Reality Software and Technology, VRST 2017 - Gothenburg, Sweden Duration: 2017 Nov 8 → 2017 Nov 10 |
Other
Other | 23rd ACM Conference on Virtual Reality Software and Technology, VRST 2017 |
---|---|
Country | Sweden |
City | Gothenburg |
Period | 17/11/8 → 17/11/10 |
Keywords
- OST-HMD
- Photo-reflective sensor
- Skin interface
ASJC Scopus subject areas
- Software