Muscle Activation Analysis from Gait Kinematics and Reinforcement Learning

We propose the use of reinforcement learning with imitation reward to estimate muscle activation from a purely kinematic motion capture sequence without the use of any force plate or electromyography (EMG) sensors. We also demonstrate the use of this method by comparing muscle activation between nor...

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Main Author:	Jatesiktat P.
Other Authors:	Mahidol University
Format:	Conference or Workshop Item
Published:	2023
Subjects:	Engineering
Online Access:	https://repository.li.mahidol.ac.th/handle/123456789/84632
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Institution:	Mahidol University

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spelling	th-mahidol.846322023-06-19T00:12:45Z Muscle Activation Analysis from Gait Kinematics and Reinforcement Learning Jatesiktat P. Mahidol University Engineering We propose the use of reinforcement learning with imitation reward to estimate muscle activation from a purely kinematic motion capture sequence without the use of any force plate or electromyography (EMG) sensors. We also demonstrate the use of this method by comparing muscle activation between normal walking and U-Turning. Our simulation demonstrated a higher level of activation during U-Turning in the biceps femoris in the swing phase and the gluteus medius during the stance phase, which is consistent with the previous studies with EMG sensors on human subjects. Activation of ankle muscles generated from the simulation, however, did not match the conventional activation patterns. The source code and the data are made publicly available for research purposes. 2023-06-18T17:12:45Z 2023-06-18T17:12:45Z 2022-01-01 Conference Paper 19th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON 2022 (2022) 10.1109/ECTI-CON54298.2022.9795606 2-s2.0-85133392260 https://repository.li.mahidol.ac.th/handle/123456789/84632 SCOPUS
institution	Mahidol University
building	Mahidol University Library
continent	Asia
country	Thailand Thailand
content_provider	Mahidol University Library
collection	Mahidol University Institutional Repository
topic	Engineering
spellingShingle	Engineering Jatesiktat P. Muscle Activation Analysis from Gait Kinematics and Reinforcement Learning
description	We propose the use of reinforcement learning with imitation reward to estimate muscle activation from a purely kinematic motion capture sequence without the use of any force plate or electromyography (EMG) sensors. We also demonstrate the use of this method by comparing muscle activation between normal walking and U-Turning. Our simulation demonstrated a higher level of activation during U-Turning in the biceps femoris in the swing phase and the gluteus medius during the stance phase, which is consistent with the previous studies with EMG sensors on human subjects. Activation of ankle muscles generated from the simulation, however, did not match the conventional activation patterns. The source code and the data are made publicly available for research purposes.
author2	Mahidol University
author_facet	Mahidol University Jatesiktat P.
format	Conference or Workshop Item
author	Jatesiktat P.
author_sort	Jatesiktat P.
title	Muscle Activation Analysis from Gait Kinematics and Reinforcement Learning
title_short	Muscle Activation Analysis from Gait Kinematics and Reinforcement Learning
title_full	Muscle Activation Analysis from Gait Kinematics and Reinforcement Learning
title_fullStr	Muscle Activation Analysis from Gait Kinematics and Reinforcement Learning
title_full_unstemmed	Muscle Activation Analysis from Gait Kinematics and Reinforcement Learning
title_sort	muscle activation analysis from gait kinematics and reinforcement learning
publishDate	2023
url	https://repository.li.mahidol.ac.th/handle/123456789/84632
_version_	1781416048823631872

Muscle Activation Analysis from Gait Kinematics and Reinforcement Learning

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