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.
Authors
- Akihiko Murai (ORCID: https://orcid.org/0000-0002-2035-4346)
- Ko Ayusawa (ORCID: https://orcid.org/0000-0001-8188-4204)
- Hinako Suzuki
Institutions
- National Institute of Advanced Industrial Science and Technology (JP)
- The University of Tokyo (JP)
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
Funders
- Japan Society for the Promotion of Science
- Precursory Research for Embryonic Science and Technology
- Moonshot Research and Development Program