The essential goal of my research is to improve the overall quality of the rehabilitation service through technology-assisted therapies. Towards that, I specifically focuses on three research directions.
I investigate various ways to use artificial intelligence to monitor the impairment level and the therapy progress of the patient and intervene in an optimal manner.
I conduct clinical studies to understand the therapeutic benefit of technology-assisted therapies in routine clinical settings.
In a human-computer interaction perspective, I attempt to analyze the pros and the cons of technology-assisted therapies and to understand the specific means to advance the contemporary state-of-the-art rehabilitation technology.
Movement Quality Evaluation on Upper-Extremity Exercise Movements for Post-Stroke Patients
Estimating Cognitive Assessment Scores through Self-Administrered Mobile Games
Estimating Patient's Depression Level
The Clinical Effect of Using the RAPAEL Smart Glove for Upper-Extremity Therapy in Post-Stroke Persons
The Clinical Effect of Using the RAPAEL Smart Board for Upper-Extremity and Cognitive Therapy in Post-Stroke Persons
The Clinical Effect of Using the RAPAEL Smart Pegboard for Upper-Extremity Therapy in Post-Stroke Persons
The Clinical Effect of Using the Neuro-World for Cognitive Therapy in Post-Stroke Persons
Jean-Francois Daneault (Department of Kinesiology and Health, Rutgers University)
Smilegreen Child Development Center
Understanding Robot-Assisted Therapy
Understanding Game-Assisted Therapy
Ivestigating Wearable Sensor-Based Feedback Strategies in the Real-World Setting