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A Portable-Type Exoskeleton System for Children's Hand-Function

Published: 19 April 2023 Publication History

Abstract

For patients and children with developing hands of different ages, this paper uses bionics to design hand exoskeletons to make them have high mechanical compliance. Using the correlation between surface EMG signal and grip strength of the forearm, a myography and grip strength prediction model was designed. Realize the active force prediction of the patient's children and the control of the human-machine contact force of the rehabilitation exoskeleton, so that the children can provide the minimum auxiliary force within their motor ability, so as to improve the patient's awareness of active rehabilitation training.

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Yin Y H. Design of hand rehabilitation robot control system based on sEMG feedback [D]. Yanshan University, 2020.
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Dovat L, Lambercy O, Gassert R, Hand CARE: A Cable-Actuated Rehabilitation System to Train Hand Function After Stroke [J]. IEEE Transactions on Neural Systems & Rehabilitation Engineering, 2009, 16(6): 582-591.
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Ngeo J, Tamei T, Shibata T. Continuous estimation of finger joint angles using muscle activation inputs from surface EMG signals [J]. Conference proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference, 2012, 2012: 2756-2759.

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  • (2024)Grasp the Future: Supporting Grip Strength Assistance with GripAidProceedings of the 17th International Conference on PErvasive Technologies Related to Assistive Environments10.1145/3652037.3652066(169-176)Online publication date: 26-Jun-2024

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RICAI '22: Proceedings of the 2022 4th International Conference on Robotics, Intelligent Control and Artificial Intelligence
December 2022
1396 pages
ISBN:9781450398343
DOI:10.1145/3584376
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

New York, NY, United States

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Published: 19 April 2023

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RICAI 2022

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Overall Acceptance Rate 140 of 294 submissions, 48%

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Cited By

View all
  • (2024)Grasp the Future: Supporting Grip Strength Assistance with GripAidProceedings of the 17th International Conference on PErvasive Technologies Related to Assistive Environments10.1145/3652037.3652066(169-176)Online publication date: 26-Jun-2024

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