A socially assistive robot has the potential to augment and assist physical therapy sessions for patients with neurological and musculoskeletal problems (e.g. stroke). However, the interaction between humans and robots is still limited. For instance, prior work on a robotic exercise coach mainly utilizes pre-defined corrective feedback even if patients have various physical conditions. This research focuses on the domain of stroke rehabilitation for a robotic exercise coach and explores various techniques for more intelligent and personalized human-robot interaction for physical therapy.
2024
2023
Design, Development, and Evaluation of an Interactive Personalized Robot to Monitor and Coach Rehabilitation Exercises
User Modeling and User-Adapted Interaction
2023
Skeleton Tracking Solutions for a Low-cost Stroke Rehabilitation Support System
IEEE International Conference on Rehabilitation Robotics (ICORR)
2023
2022
Enabling AI and Robotic Coaches for Physical Rehabilitation Therapy: Iterative Design and Evaluation with Therapists and Post-Stroke Survivors
International Journal of Social Robotics
2022
A low-cost virtual coach for 2D video-based compensation assessment of upper extremity rehabilitation exercises
Journal of NeuroEngineering and Rehabilitation
2022
2021
2020
Towards Personalized Interaction and Corrective Feedback of a Socially Assistive Robot for Post-Stroke Rehabilitation Therapy
IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)
2020
2019
Intelligent Agent for Assessing and Guiding Rehabilitation Exercises
International Joint Conference on Artificial Intelligence (IJCAI Doctoral Consortium)
2019