activity
20192025
most citedDesign, Development, and Evaluation of an Interactive Personalized Social Robot to Monitor and Coach Post-Stroke Rehabilitation Exercises

41 citations · 54 across the 4 of their papers we have counts for

collaborators

7 papers

cs.HC2025

Investigating an Intelligent System to Monitor \& Explain Abnormal Activity Patterns of Older Adults

Min Hun Lee, Daniel P. Siewiorek, Alexandre Bernardino

Despite the growing potential of older adult care technologies, the adoption of these technologies remains challenging. In this work, we conducted a focus-group session with family…

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

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…

cs.CV2019

Attention Filtering for Multi-person Spatiotemporal Action Detection on Deep Two-Stream CNN Architectures

João Antunes, Pedro Abreu, Alexandre Bernardino +2

Action detection and recognition tasks have been the target of much focus in the computer vision community due to their many applications, namely, security, robotics and recommenda…