Park Visualization

According to the National Institute of Health, over 50,000 people are diagnosed with Parkinson’s each year. Parkinson’s is the fastest-growing neurological disability with symptoms worsening by aging. There is currently no end-to-end pipeline which enables simple, at-home Parkinson’s evaluation. This evaluation involves both diagnosing potential symptoms, and symptom tracking.

The ROC HCI lab has an active project called Parkinson’s Analysis with Remote Tasks (PARK), aimed at the early detection of the disease in patients unable to visit a neurologist.

Currently, a model analyzes a patient performing various remote tasks such as finger tapping, resting expressions, speech tasks and provides a diagnosis. Our goal is to present this diagnosis in a way that is easily digestible for three target groups: new users, returning users, and clinicians.