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arXiv · 2007.06473

Designing Personalized Interaction of a Socially Assistive Robot for Stroke Rehabilitation Therapy

Min Hun Lee·Daniel P. Siewiorek·Asim Smailagic·Alexandre Bernardino·Sergi Bermúdez i Badia
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Abstract

The research of a socially assistive robot has a potential to augment and assist physical therapy sessions for patients with neurological and musculoskeletal problems (e.g. stroke). During a physical therapy session, generating personalized feedback is critical to improve patient's engagement. However, prior work on socially assistive robotics for physical therapy has mainly utilized pre-defined corrective feedback even if patients have various physical and functional abilities. This paper presents an interactive approach of a socially assistive robot that can dynamically select kinematic features of assessment on individual patient's exercises to predict the quality of motion and provide patient-specific corrective feedback for personalized interaction of a robot exercise coach.

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Min Hun Lee, Daniel P. Siewiorek, Asim Smailagic, Alexandre Bernardino, Sergi Bermúdez i Badia. 2020-07-13. Designing Personalized Interaction of a Socially Assistive Robot for Stroke Rehabilitation Therapy. https://arxiv.org/abs/2007.06473

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