Estimation of Arm Posture in 3D-Space from Surface EMG Signals Using a Neural Network Model

Yasuharu KOIKE; Mitsuo KAWATO

Estimation of Arm Posture in 3D-Space from Surface EMG Signals Using a Neural Network Model

Yasuharu KOIKE, Mitsuo KAWATO

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We have aimed at constructing a forward dynamics model (FDM) of the human arm in the form of an artificial neural network while recordings of EMG and movement trajectories. We succeeded in: (1) estimating the joint torques under isometric conditions and (2) estimating trajectories from surface EMG signals in the horizontal plane. The human arm has seven degrees of freedom: the shoulder has three, the elbow has one and the wrist has three. Only two degrees of freedom were considered in the previous work. Moreover, the arm was supported horizontally. So, free movement in 3D space is still a necessity. And for 3D movements or posture control, compensation for gravity has to be considered. In this papre, four joint angles, one at the elbow and three at the shoulder were estimated from surface EMG signals of 12 flexor and extensor muscles during posture control in 3D space.

Publication: IEICE TRANSACTIONS on Information Vol.E77-D No.4 pp.368-375

Publication Date: 1994/04/25

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Type of Manuscript: Special Section INVITED PAPER (Special Issue on Neurocomputing)

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Yasuharu KOIKE, Mitsuo KAWATO, "Estimation of Arm Posture in 3D-Space from Surface EMG Signals Using a Neural Network Model" in IEICE TRANSACTIONS on Information, vol. E77-D, no. 4, pp. 368-375, April 1994, doi: .
Abstract: We have aimed at constructing a forward dynamics model (FDM) of the human arm in the form of an artificial neural network while recordings of EMG and movement trajectories. We succeeded in: (1) estimating the joint torques under isometric conditions and (2) estimating trajectories from surface EMG signals in the horizontal plane. The human arm has seven degrees of freedom: the shoulder has three, the elbow has one and the wrist has three. Only two degrees of freedom were considered in the previous work. Moreover, the arm was supported horizontally. So, free movement in 3D space is still a necessity. And for 3D movements or posture control, compensation for gravity has to be considered. In this papre, four joint angles, one at the elbow and three at the shoulder were estimated from surface EMG signals of 12 flexor and extensor muscles during posture control in 3D space.
URL: https://global.ieice.org/en_transactions/information/10.1587/e77-d_4_368/_p

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@ARTICLE{e77-d_4_368,
author={Yasuharu KOIKE, Mitsuo KAWATO, },
journal={IEICE TRANSACTIONS on Information},
title={Estimation of Arm Posture in 3D-Space from Surface EMG Signals Using a Neural Network Model},
year={1994},
volume={E77-D},
number={4},
pages={368-375},
abstract={We have aimed at constructing a forward dynamics model (FDM) of the human arm in the form of an artificial neural network while recordings of EMG and movement trajectories. We succeeded in: (1) estimating the joint torques under isometric conditions and (2) estimating trajectories from surface EMG signals in the horizontal plane. The human arm has seven degrees of freedom: the shoulder has three, the elbow has one and the wrist has three. Only two degrees of freedom were considered in the previous work. Moreover, the arm was supported horizontally. So, free movement in 3D space is still a necessity. And for 3D movements or posture control, compensation for gravity has to be considered. In this papre, four joint angles, one at the elbow and three at the shoulder were estimated from surface EMG signals of 12 flexor and extensor muscles during posture control in 3D space.},
keywords={},
doi={},
ISSN={},
month={April},}

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TY - JOUR
TI - Estimation of Arm Posture in 3D-Space from Surface EMG Signals Using a Neural Network Model
T2 - IEICE TRANSACTIONS on Information
SP - 368
EP - 375
AU - Yasuharu KOIKE
AU - Mitsuo KAWATO
PY - 1994
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E77-D
IS - 4
JA - IEICE TRANSACTIONS on Information
Y1 - April 1994
AB - We have aimed at constructing a forward dynamics model (FDM) of the human arm in the form of an artificial neural network while recordings of EMG and movement trajectories. We succeeded in: (1) estimating the joint torques under isometric conditions and (2) estimating trajectories from surface EMG signals in the horizontal plane. The human arm has seven degrees of freedom: the shoulder has three, the elbow has one and the wrist has three. Only two degrees of freedom were considered in the previous work. Moreover, the arm was supported horizontally. So, free movement in 3D space is still a necessity. And for 3D movements or posture control, compensation for gravity has to be considered. In this papre, four joint angles, one at the elbow and three at the shoulder were estimated from surface EMG signals of 12 flexor and extensor muscles during posture control in 3D space.
ER -