Presentation 2002/6/20
Arm impedance estimation using surface EMG singals
Yasuharu KOIKE, Osamu SHIMADA, Makoto SATO,
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Abstract(in English) In this paper, shoulder and elbow joint torques were estimated from the surface electromyographic (EMG) activities using the mathematical muscle model. We have been investigated the muscle model using an artificial neural network. The muscle model using an artificial neural network estimated precisely the joint torque of the human arm, i.e. shoulder and elbow. The neural network model, however, is ambiguous about the properties of each muscle. On the other hand, the mathematical model uses small parameters to represent muscle properties, such as stiffness, muscle length and so on. Moreover, the stiffness value during performing a task would be estimated from the surface EMG.
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Keyword(in English) Impedance / EMG / Equilibrium position / torque estimation
Paper # NC2002-17
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Committee NC
Conference Date 2002/6/20(1days)
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Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Arm impedance estimation using surface EMG singals
Sub Title (in English)
Keyword(1) Impedance
Keyword(2) EMG
Keyword(3) Equilibrium position
Keyword(4) torque estimation
1st Author's Name Yasuharu KOIKE
1st Author's Affiliation Precision & Intelligence Lab. Titech:PRESTO, JST()
2nd Author's Name Osamu SHIMADA
2nd Author's Affiliation Precision & Intelligence Lab. Titech
3rd Author's Name Makoto SATO
3rd Author's Affiliation Precision & Intelligence Lab. Titech
Date 2002/6/20
Paper # NC2002-17
Volume (vol) vol.102
Number (no) 157
Page pp.pp.-
#Pages 6
Date of Issue