Enea Ceolini, Gemma Taverni, Lyes Khacef, M. Payvand, Elisa Donati
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Live Demostration: Sensor fusion using EMG and vision for hand gesture classification in mobile applications
The demonstration shows a mobile application, called "RELAX", for hand gesture classification using multi-sensors fusion. In particular, we integrated the data collected by an electromyography (EMG) sensor with the events produced by an event-based vision sensor, the Dynamic Vision Sensor (DVS). The application runs real-time on any Android smartphone and it is able to recognize five gestures with an accuracy of up to 85%.This demonstration is associated with the track Bio-Inspired and Neuromorphic Circuits and Systems. Associated paper submission identifier: 8114.
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