ロボティクス・メカトロニクス講演会講演概要集
Online ISSN : 2424-3124
セッションID: 1A2-13a6
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深層ニューラルネットを用いた筋電位に基づく前腕の動作識別
小野 哲松尾 芳樹上野 祐樹
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会議録・要旨集 フリー

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As a motion classifier of the myoelectric prosthesis, neural network is usually used. In order to realize intuitive operation, improvement of identification rate of the motion classifier is necessary. In the field of the machine learning, deep neural network has attracted the attention, A study of the past of the machine learning , feature values which encourage the learning when learning or classifying was given by human. On the other hand in the deep neural network, it was extracted automatically. In this research, four layered neural network is applied as a motion classifier of human's forearm. Relationship between each layers of the four layered NN was analyzed visually.

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© 2016 一般社団法人 日本機械学会
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