Intimate interfaces in action: assessing the usability and subtlety of emg-based motionless gestures
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Demonstrating the feasibility of using forearm electromyography for muscle-computer interfaces
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
EMG-based hand gesture recognition for realtime biosignal interfacing
Proceedings of the 13th international conference on Intelligent user interfaces
Enhancing input on and above the interactive surface with muscle sensing
Proceedings of the ACM International Conference on Interactive Tabletops and Surfaces
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Maximum Voluntary Contraction(MVC) is frequently used in human machine muscle interfaces, especially the ones using Electromyography(EMG) and Acousticmyography(AMG). In some cases MVC alone is enough to adapt a system from one user to another, which could potentially create a simple system that any user could instantly use with minimal training and calibration. This research work evaluates the usefulness of automating circumference measurement for estimating MVC thereby reducing the need for training and calibration. A preliminary implementation of a circumference measuring armband is presented to demonstrate the feasibility and performance of this technology.