Human–Robot Interaction for Rehabilitation Robotics

Yao Guo (), Xiao Gu () and Guang-Zhong Yang ()
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Yao Guo: Shanghai Jiao Tong University, Institute of Medical Robotics & School of Biomedical Engineering
Xiao Gu: Imperial College London, The Hamlyn Centre for Robotic Surgery
Guang-Zhong Yang: Shanghai Jiao Tong University, Institute of Medical Robotics & School of Biomedical Engineering

A chapter in Digitalization in Healthcare, 2021, pp 269-295 from Springer

Abstract: Abstract Research on rehabilitation robotics has gained significant attention over the last decades due to unmet medical needs for people with neurological and musculoskeletal disorders. In this chapter, we focus on the current states and emerging trends of human–robot interaction (HRI) for rehabilitation robotics by giving an overview of two representative examples: upper-limb prosthesis and therapeutic robot for stroke rehabilitation. For prostheses, we discuss the development of HRI in forward prothesis control and sensory feedback. In terms of HRI in therapeutic robots for stroke rehabilitation, human intention detection, therapy feedback, and rehabilitation performance assessment are introduced. Finally, we conclude each example with remaining challenges and future directions.

Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:spr:fuobcp:978-3-030-65896-0_23

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DOI: 10.1007/978-3-030-65896-0_23

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