{"title":"基于关节刚度综合估计的运动解耦手指外骨骼的研制","authors":"Zhi-Yong Chen, Jen-Yuan Chang","doi":"10.1016/j.mechmachtheory.2025.106146","DOIUrl":null,"url":null,"abstract":"<div><div>This study presents the development of a motion-decoupled finger exoskeleton designed both to facilitate passive rehabilitation and enable joint stiffness estimation. The proposed exoskeleton incorporates a self-alignment mechanism to accommodate variations in joint alignment and finger dimensions, ensuring an optimal fit for diverse users. Furthermore, linkage optimization was implemented to enhance force transmission efficiency, thereby improving transmission angles and reducing mechanical resistance. To achieve accurate joint stiffness estimation, a force and friction model was developed to compensate for frictional effects. In this study, a series of experimental validations was conducted using prosthetic finger models equipped with six torsional springs of varying stiffness in order to determine friction model parameters and evaluate measurement accuracy. The results indicate that the exoskeleton can simultaneously estimate joint stiffness during constant-velocity passive motion, achieving an approximate error of 5.55 % for stiffness values corresponding to nonzero levels on the Modified Ashworth Scale. These findings suggest that the proposed exoskeleton provides a reliable platform for joint stiffness assessment in rehabilitation settings and holds significant potential for clinical applications in stroke recovery as well as musculoskeletal rehabilitation.</div></div>","PeriodicalId":49845,"journal":{"name":"Mechanism and Machine Theory","volume":"214 ","pages":"Article 106146"},"PeriodicalIF":4.5000,"publicationDate":"2025-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Development of a motion-decoupled finger exoskeleton with integrated joint stiffness estimation\",\"authors\":\"Zhi-Yong Chen, Jen-Yuan Chang\",\"doi\":\"10.1016/j.mechmachtheory.2025.106146\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>This study presents the development of a motion-decoupled finger exoskeleton designed both to facilitate passive rehabilitation and enable joint stiffness estimation. The proposed exoskeleton incorporates a self-alignment mechanism to accommodate variations in joint alignment and finger dimensions, ensuring an optimal fit for diverse users. Furthermore, linkage optimization was implemented to enhance force transmission efficiency, thereby improving transmission angles and reducing mechanical resistance. To achieve accurate joint stiffness estimation, a force and friction model was developed to compensate for frictional effects. In this study, a series of experimental validations was conducted using prosthetic finger models equipped with six torsional springs of varying stiffness in order to determine friction model parameters and evaluate measurement accuracy. The results indicate that the exoskeleton can simultaneously estimate joint stiffness during constant-velocity passive motion, achieving an approximate error of 5.55 % for stiffness values corresponding to nonzero levels on the Modified Ashworth Scale. These findings suggest that the proposed exoskeleton provides a reliable platform for joint stiffness assessment in rehabilitation settings and holds significant potential for clinical applications in stroke recovery as well as musculoskeletal rehabilitation.</div></div>\",\"PeriodicalId\":49845,\"journal\":{\"name\":\"Mechanism and Machine Theory\",\"volume\":\"214 \",\"pages\":\"Article 106146\"},\"PeriodicalIF\":4.5000,\"publicationDate\":\"2025-07-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Mechanism and Machine Theory\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0094114X25002356\",\"RegionNum\":1,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, MECHANICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Mechanism and Machine Theory","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0094114X25002356","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MECHANICAL","Score":null,"Total":0}
Development of a motion-decoupled finger exoskeleton with integrated joint stiffness estimation
This study presents the development of a motion-decoupled finger exoskeleton designed both to facilitate passive rehabilitation and enable joint stiffness estimation. The proposed exoskeleton incorporates a self-alignment mechanism to accommodate variations in joint alignment and finger dimensions, ensuring an optimal fit for diverse users. Furthermore, linkage optimization was implemented to enhance force transmission efficiency, thereby improving transmission angles and reducing mechanical resistance. To achieve accurate joint stiffness estimation, a force and friction model was developed to compensate for frictional effects. In this study, a series of experimental validations was conducted using prosthetic finger models equipped with six torsional springs of varying stiffness in order to determine friction model parameters and evaluate measurement accuracy. The results indicate that the exoskeleton can simultaneously estimate joint stiffness during constant-velocity passive motion, achieving an approximate error of 5.55 % for stiffness values corresponding to nonzero levels on the Modified Ashworth Scale. These findings suggest that the proposed exoskeleton provides a reliable platform for joint stiffness assessment in rehabilitation settings and holds significant potential for clinical applications in stroke recovery as well as musculoskeletal rehabilitation.
期刊介绍:
Mechanism and Machine Theory provides a medium of communication between engineers and scientists engaged in research and development within the fields of knowledge embraced by IFToMM, the International Federation for the Promotion of Mechanism and Machine Science, therefore affiliated with IFToMM as its official research journal.
The main topics are:
Design Theory and Methodology;
Haptics and Human-Machine-Interfaces;
Robotics, Mechatronics and Micro-Machines;
Mechanisms, Mechanical Transmissions and Machines;
Kinematics, Dynamics, and Control of Mechanical Systems;
Applications to Bioengineering and Molecular Chemistry