Abstract
The motion of the finger is made up of a combination of forearm part (extrinsic) muscles and hand part (intrinsic) muscles. We have created a wearable fingerless glove controller to sense sEMG(surface Electromyography) from intrinsic muscles using dry electrodes [Tsuboi et al. 2017].Recognition of air-tapping gesture with a sensor attached to wearable finger-less glove controller is a challenging problem. In this study, we focused on motion recognition of air-tapping and performed motion recognition using CNN and evaluated its accuracy. As a result, the accuracy in intra-subject identification was 85.05%. Also, experiments are currently being conducted in anticipation of character input in VR space [Grubert et al. 2018]. Character input experiment in VR space was carried out using sEMG wearable fingerless glove controller, as a primitive experiment of the use of sEMG glove in VR space. Based on the results, we discussed the efficiency of character input using sEMG glove in VR space.
| Original language | English |
|---|---|
| Title of host publication | SIGGRAPH Asia 2018 Posters, SA 2018 |
| Publisher | Association for Computing Machinery, Inc |
| ISBN (Electronic) | 9781450360630 |
| DOIs | |
| Publication status | Published - 2018 Dec 4 |
| Event | SIGGRAPH Asia 2018 Posters - International Conference on Computer Graphics and Interactive Techniques, SA 2018 - Tokyo, Japan Duration: 2018 Dec 4 → 2018 Dec 7 |
Other
| Other | SIGGRAPH Asia 2018 Posters - International Conference on Computer Graphics and Interactive Techniques, SA 2018 |
|---|---|
| Country | Japan |
| City | Tokyo |
| Period | 18/12/4 → 18/12/7 |
Fingerprint
Keywords
- Finger Gesture Recognition，I/F
- Interface
- SEMG
- VR
ASJC Scopus subject areas
- Computer Graphics and Computer-Aided Design
- Human-Computer Interaction
- Software
- Computer Vision and Pattern Recognition