2A2-D07 寝返り動作認識のためのMicro Macro Neural Networkの開発

概要

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We have developed the rollover support system. The core of this system is a pneumatic rubber muscle that is operated by EMG signals. Time Delay Neural Network (TDNN) is the traditional method for recognizing EMG signals. However, the response delay and false recognition are the problem of the traditional neural network. We proposed a new neural network, called the Micro-Macro Neural Network (MMNN), to recognize the rollover movement earlier and with more accuracy. MMNN is composed of a Micro Part, which detects rapid changes in the strength of the EMG signal, and a Macro Part, which detects the tendency of the EMG signal to continually increase or decrease. Recognition using MMNN is 40 [msec] (S.D. 49) faster than recognition using TDNN. Additionally, the number of false recognitions using MMNN is one-third of that using TDNN.
一般社団法人日本機械学会の論文
2009-05-25