Muscle Property Optimization Based on Motion Intentionality for Motor Skill Augmentation

Understanding motion intentionality is important to augment motor skills. This can be explained by the anatomical structure and innate immune mechanisms of humans. This study aimed to analyze human motion using musculoskeletal information and estimate motion intentionality, motion direction, and muscle properties. The calculation method for the easy-to-move musculoskeletal direction in the task space was reversed to calculate the optimal muscle properties and matching rate for the motion direction. The analysis results of each walking and feint motion showed that the muscles were trained toward reduced muscular effort and improved skills for each motion. In addition, the results of the optimization of the matching rate and muscle properties indicate that the optimized muscle properties can express the motion better than the reference values, and the average matching rate increases by 2.41×10 -1 , particularly for a feint motion. Therefore, skill acquisition and augmentation were achieved.

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Publication Details

Journal
Journal of Robotics and Mechatronics
Published
2024-08-19
DOI
https://doi.org/10.20965/jrm.2024.p0847
Primary Topic
Muscle activation and electromyography studies
Type
article
Field-Weighted Citation Impact
0.00

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article

Muscle Property Optimization Based on Motion Intentionality for Motor Skill Augmentation

Akihiko Murai, Ko Ayusawa, Hinako Suzuki
Journal of Robotics and Mechatronics
Muscle activation and electromyography studies
article

Muscle Property Optimization Based on Motion Intentionality for Motor Skill Augmentation

Akihiko Murai, Ko Ayusawa, Hinako Suzuki
article en

Abstract

Understanding motion intentionality is important to augment motor skills. This can be explained by the anatomical structure and innate immune mechanisms of humans. This study aimed to analyze human motion using musculoskeletal information and estimate motion intentionality, motion direction, and muscle properties. The calculation method for the easy-to-move musculoskeletal direction in the task space was reversed to calculate the optimal muscle properties and matching rate for the motion direction. The analysis results of each walking and feint motion showed that the muscles were trained toward reduced muscular effort and improved skills for each motion. In addition, the results of the optimization of the matching rate and muscle properties indicate that the optimized muscle properties can express the motion better than the reference values, and the average matching rate increases by 2.41×10 -1 , particularly for a feint motion. Therefore, skill acquisition and augmentation were achieved.

Journal of Robotics and MechatronicsVol. 36(4)
National Institute of Advanced Industrial Science and Technology (JP), The University of Tokyo (JP)
Japan Society for the Promotion of Science, Precursory Research for Embryonic Science and Technology, Moonshot Research and Development Program
Quality Education
Openalex Percentile: Top 88%
Muscle activation and electromyography studies
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