Toward a Virtual Environment for Rehabilitation: Early Design and Integration Perspectives

This paper presents VERA, a sensor-based platform for assessing and rehabilitating Alzheimer's patients, grounded in the embodied cognition paradigm. VERA integrates wearable technologies with motion capture and machine learning to collect and analyse motor-cognitive biomarkers for early diagnosis. The system also supports personalised rehabilitation through sensorimotor feedback in a virtual environment. VERA's design aligns with theories of cognition emerging from body-environment interaction, offering a novel, theoretically grounded approach to cognitive care.