Sciweavers

Share
CHI
2008
ACM

Demonstrating the feasibility of using forearm electromyography for muscle-computer interfaces

11 years 2 days ago
Demonstrating the feasibility of using forearm electromyography for muscle-computer interfaces
We explore the feasibility of muscle-computer interfaces (muCIs): an interaction methodology that directly senses and decodes human muscular activity rather than relying on physical device actuation or user actions that are externally visible or audible. As a first step towards realizing the muCI concept, we conducted an experiment to explore the potential of exploiting muscular sensing and processing technologies for muCIs. We present results demonstrating accurate gesture classification with an off-the-shelf electromyography (EMG) device. Specifically, using 10 sensors worn in a narrow band around the upper forearm, we were able to differentiate position and pressure of finger presses, as well as classify tapping and lifting gestures across all five fingers. We conclude with discussion of the implications of our results for future muCI designs.
T. Scott Saponas, Desney S. Tan, Dan Morris, Ravin
Added 30 Nov 2009
Updated 30 Nov 2009
Type Conference
Year 2008
Where CHI
Authors T. Scott Saponas, Desney S. Tan, Dan Morris, Ravin Balakrishnan
Comments (0)
books