To provide a digital joint angle estimating device which can respond to the time change of the relation between biological signals and the digital joint angles and can estimate several digital joint angles continuously and in real time.
The digital joint angle estimating device 10 receives multiple surface myoelectric signals when digital joints move, extracts feature values of the surface myoelectric signals by an integral treatment section 14 and one-dimensionally aligns the feature values which are normalized by a normalization treatment section 15 into a feature value vector. A neural network 16 receives feed forward components which are one-dimensionally aligned feature vectors in chronological order from past to present and input vectors which comprise feedback components of output vectors in chronological order which are estimated until now for each of operation periods and estimates the digital joint angles.
COPYRIGHT: (C)2010,JPO&INPIT
HIOKI MASAAKI
| JPH05111881A | 1993-05-07 | |||
| JP2008228871A | 2008-10-02 | |||
| JPH0724766A | 1995-01-27 | |||
| JPH07219922A | 1995-08-18 | |||
| JPH06102905A | 1994-04-15 | |||
| JPH07277286A | 1995-10-24 |
JPN6013010707; 末松悟、横井博一: '多自由度筋電義手における動作生成システム' 電子情報通信学会技術研究報告 Ｖｏｌ．１０３ Ｎｏ．４６５, 20031121, ３５-３８
Makoto Onda
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