MMG-based Gesture Recognition:筋肉の振動を利用したジェスチャ検出手法

We propose a novel hand gesture recognition method based on MMG (mechanomyogram). Skeletal muscles generate sounds specific to their activity. MMG is the technology to evaluate muscles’ activity by recording and analyzing those sounds. In previous researches, microphones and accelerometers are often used to sense the sounds of muscles. However those sensors are easily obstructed by environmental condition such as acoustic noise and human motion itself. In this paper, we propose to use a piezo-based MMG to improve robustness to environmental condition. The preliminary evaluation shows that the proposed method is able to classify several hand gestures correctly at high accuracy at a certain situation.