Design and Control of an Omni-directional Robotic Walker Based on Human-machine Interaction
A cornerstone of the rehabilitative regime for people diagnosed with dyskinesia is walking assist and gait training, however, prolonged care, provided by relatives or professionals, serves as a massive financial burden to patients. The proposed novel robotic walker seeks to address this concern. The...
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Published in | IEEE access Vol. 9; p. 1 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
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Piscataway
IEEE
01.01.2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
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Online Access | Get full text |
ISSN | 2169-3536 2169-3536 |
DOI | 10.1109/ACCESS.2021.3103202 |
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Abstract | A cornerstone of the rehabilitative regime for people diagnosed with dyskinesia is walking assist and gait training, however, prolonged care, provided by relatives or professionals, serves as a massive financial burden to patients. The proposed novel robotic walker seeks to address this concern. The walker incorporates human motion intention recognition to facilitate lower limb rehabilitation training and daily walking. The walker design places strong emphasis on patient safety and quality of life by providing omni-directional walking assist, four key pelvic motions that support hip rotations and comfortable body weight support (BWS). Additionally, five sensors were installed to identify the user's motion intention from the interaction forces surrounding the pelvis and dead zone. Furthermore, Kalman filtering was used to guarantee the quality of the interactive signal while kinematic and dynamic models were derived to generate appropriate driving velocities to support patient's body weight and improve mobility. To validate our design, MATLAB simulations and exploratory clinical trials using healthy subjects were performed. Preliminary results demonstrate satisfactory kinematic performance and suggest the walker as a promising therapeutic avenue for individuals suffering from dyskinesia and other associated movement disorders. |
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AbstractList | A cornerstone of the rehabilitative regime for people diagnosed with dyskinesia is walking assist and gait training, however, prolonged care, provided by relatives or professionals, serves as a massive financial burden to patients. The proposed novel robotic walker seeks to address this concern. The walker incorporates human motion intention recognition to facilitate lower limb rehabilitation training and daily walking. The walker design places strong emphasis on patient safety and quality of life by providing omni-directional walking assist, four key pelvic motions that support hip rotations and comfortable body weight support (BWS). Additionally, five sensors were installed to identify the user's motion intention from the interaction forces surrounding the pelvis and dead zone. Furthermore, Kalman filtering was used to guarantee the quality of the interactive signal while kinematic and dynamic models were derived to generate appropriate driving velocities to support patient's body weight and improve mobility. To validate our design, the MATLAB simulations and exploratory clinical trials using healthy subjects were performed. Preliminary results demonstrate satisfactory kinematic performance and suggest the walker as a promising therapeutic avenue for individuals suffering from dyskinesia and other associated movement disorders. A cornerstone of the rehabilitative regime for people diagnosed with dyskinesia is walking assist and gait training, however, prolonged care, provided by relatives or professionals, serves as a massive financial burden to patients. The proposed novel robotic walker seeks to address this concern. The walker incorporates human motion intention recognition to facilitate lower limb rehabilitation training and daily walking. The walker design places strong emphasis on patient safety and quality of life by providing omni-directional walking assist, four key pelvic motions that support hip rotations and comfortable body weight support (BWS). Additionally, five sensors were installed to identify the user's motion intention from the interaction forces surrounding the pelvis and dead zone. Furthermore, Kalman filtering was used to guarantee the quality of the interactive signal while kinematic and dynamic models were derived to generate appropriate driving velocities to support patient's body weight and improve mobility. To validate our design, MATLAB simulations and exploratory clinical trials using healthy subjects were performed. Preliminary results demonstrate satisfactory kinematic performance and suggest the walker as a promising therapeutic avenue for individuals suffering from dyskinesia and other associated movement disorders. |
Author | Chen, Wei Ji, Jiancheng Xi, Jason Wang, Wenbin |
Author_xml | – sequence: 1 givenname: Jiancheng surname: Ji fullname: Ji, Jiancheng organization: Institute of Intelligent Manufacturing, Shenzhen Polytechnic, 4089 Shahe West Road, Shenzhen, 518055, China and Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, 1068 Xueyuan Road, Shenzhen, 5018055, China. (e-mail: jcji09@shu.edu.cn) – sequence: 2 givenname: Wei surname: Chen fullname: Chen, Wei organization: Institute of Intelligent Manufacturing, Shenzhen Polytechnic, 4089 Shahe West Road, Shenzhen, 518055, China – sequence: 3 givenname: Wenbin surname: Wang fullname: Wang, Wenbin organization: Institute of Intelligent Manufacturing, Shenzhen Polytechnic, 4089 Shahe West Road, Shenzhen, 518055, China – sequence: 4 givenname: Jason surname: Xi fullname: Xi, Jason organization: Department of Physical Therapy, Faculty of Medicine, University of Toronto, 500 University Avenue, Toronto, M5G 1V7, Canada |
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SubjectTerms | Body weight Design Dynamic models Dyskinesia Human motion Human-machine Interaction human–machine Kalman filters Kinematics Legged locomotion Lower rehabilitation robot Motion control Pelvis Rehabilitation Robot sensing systems Robotic walker Robots Sensors Signal quality Stroke Torque Training Walking Wheels |
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Title | Design and Control of an Omni-directional Robotic Walker Based on Human-machine Interaction |
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