The Future of Video Game Input: Muscle Sensors
Electromyography (EMG) sensors can decode muscle signals from the skin's surface as a person performs certain gestures. Researchers attached such sensors to their forearms, and built a gesture recognition library by monitoring muscle signals related to each gesture. The project emerged as a collaborative effort between Microsoft, University of Washington in Seattle, and the University of Toronto in Canada.
UIST'09: Enabling Always-Available Input with Muscle-Computer Interfaces
Presented at UIST (ACM Symposium on User Interface Software and Technology) http://www.acm.org/uist/
Muscle-Bound Computer Interface
Forearm electrodes could enable new forms of hands-free computer interaction.
The new muscle-sensing project is "going after healthy consumers who want richer input modalities," says Desney Tan, a researcher at Microsoft. As a result, he and his colleagues had to come up with a system that was inexpensive and unobtrusive and that reliably sensed a range of gestures.
Muscle-Computer Interfaces
Muscle-computer interfaces directly sense and decode human muscular activity rather than relying
on physical actuation or perceptible user actions. Using a wireless EMG armband, we have shown
relatively high accuracies decoding simple finger gestures both when the arm is rested on a surface,
but also when the gestures are performed in free space.
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Sources:
- The Future of Video Game Input: Muscle Sensors | LiveScience
- YouTube - UIST'09: Enabling Always-Available Input with Muscle-Computer Interfaces
- Technology Review: Muscle-Bound Computer Interface
- Desney Tan - Projects
- Geeks play Guitar Hero without guitars • Register Hardware