Myotyper: A Myo-Based Texting System For Forearm Amputees

PROCEEDINGS OF CHINESE CHI 2018: SIXTH INTERNATIONAL SYMPOSIUM OF CHINESE CHI (CHINESE CHI 2018)(2018)

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摘要
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.
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关键词
Human computer interaction, forearm gesture, EMG signal, user interface, action recognition
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