activity
20202023
most citedEnabling AI and Robotic Coaches for Physical Rehabilitation Therapy: Iterative Design and Evaluation with Therapists and Post-Stroke Survivors

59 citations · 113 across the 4 of their papers we have counts for

collaborators

4 papers

cs.RO2023★ 41 cited

Design, Development, and Evaluation of an Interactive Personalized Social Robot to Monitor and Coach Post-Stroke Rehabilitation Exercises

Min Hun Lee, Daniel P. Siewiorek, Asim Smailagic +2

Socially assistive robots are increasingly being explored to improve the engagement of older adults and people with disability in health and well-being-related exercises. However,…

cs.RO2021★ 59 cited

Enabling AI and Robotic Coaches for Physical Rehabilitation Therapy: Iterative Design and Evaluation with Therapists and Post-Stroke Survivors

Min Hun Lee, Daniel P. Siewiorek, Asim Smailagic +2

Artificial intelligence (AI) and robotic coaches promise the improved engagement of patients on rehabilitation exercises through social interaction. While previous work explored th…

cs.HC2020★ 3 cited

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

Min Hun Lee, Daniel P. Siewiorek, Asim Smailagic +2

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)…

cs.HC2020★ 10 cited

Opportunities of a Machine Learning-based Decision Support System for Stroke Rehabilitation Assessment

Min Hun Lee, Daniel P. Siewiorek, Asim Smailagic +2

Rehabilitation assessment is critical to determine an adequate intervention for a patient. However, the current practices of assessment mainly rely on therapist's experience, and a…