Demonstrating the feasibility of using forearm electromyography for muscle-computer interfaces
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Enabling always-available input with muscle-computer interfaces
Proceedings of the 22nd annual ACM symposium on User interface software and technology
SixthSense: Integrating information and the real world
ISMAR '09 Proceedings of the 2009 8th IEEE International Symposium on Mixed and Augmented Reality
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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Gesture interaction is one of the most important topics in the human-computer interaction. In this field, the main research activities are oriented on recognizing and classifying different gestures in order to interact with the computer directly with the body, without using classical mobile devices such as touchpad or trackball. This paper describes the development and the testing of our wearable interaction system that uses surface electromyography (sEMG) signals to recognize and process the gestures of the users. The core of the system is the "Eracle-board" that is a wearable 3-channel board developed in order to acquire the sEMG signals from the user's forearm. The acquired data are subsequently processed by an external device, which allows us to recognize and classify seven different gestures through the implementation of a neural network. Finally, the effectiveness of the system has been evaluated through some tests carried out with users.