Dynamic Difficulty Adjustment in IoT-Enabled Rehabilitation Exergames Using Temporal Convolutional Networks
Most dynamic difficulty adjustment (DDA) systems for rehabilitation exergames depend on heart-rate monitors or manual therapist scoring, hardware patients frequently cannot use reliably at home. This paper presents a sensor-agnostic DDA framework that reads exclusively from the smartphone already in the patient’s pocke...