Fengyan Wang
Wei Sun
ABSTRACT
Arm gestures are not only important in hand-busy applications, but also helpful for arm amputees when they are interacting with computers. With the motivation of interacting with computers without hand or arm, we propose MyoTyper, a method enables people to interact with computers by using forearm gesture. We employ acceleration sensors and electromyography sensors to collect signals for arm gesture recognition. A disc-shaped virtual keyboard is designed for fast text input by arm gesture set. Our preliminary study shows that our system prototype achieve classification accuracy with 70% input speed of 2.56 words per minute, and the input speed increases when using proficiency improved.
- Kofsky, Peggy R., et al. 1983. Field testing: assessment of physical fitness of disabled adults. European journal of applied physiology and occupational physiology 51.1: 109--120.Google Scholar
- James Cannan, et al. 2013. Feasibility of Using Gyro and EMG Fusion as a Multi-Position Computer Interface for Amputees. Fourth International Conference on Emerging Security Technologies. Google ScholarDigital Library
- Noyes J M, Haigh R, Starr A F. 1989. Automatic speech recognition for disabled people. Applied Ergonomics, 20(4):293.Google ScholarCross Ref
- Kim, Hyun-Woo et al. 2015. Efficient character input scheme based on gyro-accelerometer sensor for NUI. Springer Verlag, 373. 101--107.Google Scholar
- Saponas T S, Tan D S, Morris D, et al. 2008. Demonstrating the feasibility of using forearm electromyography for muscle-computer interfaces. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 515--524. Google ScholarDigital Library
- Wenwei Yu, et al. An EMG keyboard for forearm amputees. Applied Bionics and Biomechanics 2003:1(1) 33--43. Google ScholarDigital Library
Index Terms
- MyoTyper: A MYO-based Texting System for Forearm Amputees
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