Augmented Reality Neurorehabilitation System for Parkinson's Disease (2023)
Undergraduates: Ashley Neall, Pranav Wagh
Faculty Advisor: Henry Fuchs
Department: Computer Science
Our research aims to develop an extended reality neurorehabilitation system for patients with Parkinson’s disease (PD). This system aims to improve clinician decision-making and patients' outcomes as they undergo therapeutic exercises and perform activities of daily living (ADL), allowing clinicians to remotely receive immersive visualizations of patients. Currently, our focus is on collecting, constructing, and presenting a given patient's ADL data to clinicians and care partners via a head-mounted display (HMD). This system's pipeline encompasses four main steps: collecting data, using said data for patient reconstruction in a virtual environment, recognizing patients’ ADLs, and presenting interactive visualizations of said ADLs to clinicians and care partners. The clinician will use this data to suggest therapies for PD patients – using a numerical basis for quantitative analysis of therapies via an interactive visualization, rather than the subjective basis in use currently. With visualizations and interactivity within a virtual representation of patients’ at-home environments, clinicians will provide more targeted and informed therapeutic suggestions – creating a more efficient rehabilitation system for patients, clinicians, and care providers. Future iterations of our system will address additional neurorehabilitation goals, like enhancing clinical visits and at-home patient exercises.
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