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 inIEEE access Vol. 9; p. 1
Main Authors Ji, Jiancheng, Chen, Wei, Wang, Wenbin, Xi, Jason
Format Journal Article
LanguageEnglish
Published Piscataway IEEE 01.01.2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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ISSN2169-3536
2169-3536
DOI10.1109/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.
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
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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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