PROBLEM TO BE SOLVED: To improve recognition accuracy of an intended action of a hand without increasing the number of wearing parts of surface electrodes each measuring a surface myoelectric potential.SOLUTION: An action recognition device 10 for a hand includes: a signal measurement part 12 measuring myoelectric potentials and muscle protuberance amounts in a plurality of different positions in the circumference of a forearm, and outputting myoelectric potential signals and muscle protuberance signals an integration myoelectric arithmetic part 14 calculating an integration myoelectric signal on the basis of the measured myoelectric potential signal a characteristic extraction part 16 extracting characteristic information from the myoelectric potential signal, the integration myoelectric signal and the muscle protuberance signal in each position in the circumference of the forearm and an action identification part 22 identifying an intended action on the basis of the characteristic information of the myoelectric potential signals, the integration myoelectric signals and the muscle protuberance signals extracted by the characteristic extraction part 16.COPYRIGHT: (C)2014,JPO&INPIT【課題】表面筋電位を計測する表面電極の装着箇所を増やさずに、意図する手の動作の認識精度を向上させる。【解決手段】手用の動作認識装置10は、前腕の周囲の複数の異なる位置において、筋電位と筋隆起量を計測し、筋電信号及び筋隆起信号を出力する信号計測部12と、計測された筋電信号に基づいて積分筋電信号を演算する積分筋電演算部14と、前腕の周囲の各位置における筋電信号、積分筋電信号及び筋隆起信号からそれぞれ特徴情報を抽出する特徴抽出部16と、特徴抽出部16によって抽出された筋電信号、積分筋電信号及び筋隆起信号の特徴情報に基づいて、意図する動作を識別する動作識別部22とを備える。【選択図】図1
