Muscle Force Calculation of a Human-Exoskeleton Hybrid System Based on Muscle Synergy

Diao Wu, Yu Liu, Zilu Wang, Yan Huang*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Human performance augmentation exoskeleton is beneficial in human motion assistance and enhancement. Human muscle force is an important indicator to evaluate the assistance of an exoskeleton. This study applied an inverse dynamics method based on muscle synergy to analyze human muscle force of the human-exoskeleton hybrid system. We conducted experiments with three subjects equipped with a hip joint-assisted exoskeleton walking at various speeds. Kinematic data, ground reaction forces and electromyography (EMG) signals were measured, and joint torques and forces of representative lower-limb muscles were calculated. The results indicated that both human hip torque and ankle torque were reduced due to wearing the hip joint-assisted exoskeleton, which implied assistance could be transferred across joints. The results also showed the effects of the exoskeleton on muscle force modulation. The dynamics analysis with muscle force calculation of this study may provide more insights of exoskeleton assistance, and thus be helpful in evaluation of performance augmentation and in design optimization of exoskeleton.

Original languageEnglish
Title of host publicationIntelligent Robotics and Applications - 17th International Conference, ICIRA 2024, Proceedings
EditorsXuguang Lan, Xuesong Mei, Caigui Jiang, Fei Zhao, Zhiqiang Tian
PublisherSpringer Science and Business Media Deutschland GmbH
Pages248-259
Number of pages12
ISBN (Print)9789819607853
DOIs
Publication statusPublished - 2025
Event17th International Conference on Intelligent Robotics and Applications, ICIRA 2024 - Xi'an, China
Duration: 31 Jul 20242 Aug 2024

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume15210 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference17th International Conference on Intelligent Robotics and Applications, ICIRA 2024
Country/TerritoryChina
CityXi'an
Period31/07/242/08/24

Keywords

  • Exoskeleton
  • Human performance augmentation
  • Inverse dynamics

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