PARK Viz

Over ten million people are afflicted with Parkinson’s disease worldwide with over 60,000 new patients diagnosed in the United States every year. Having a strong understanding of the prevalence of this disease is vital in the ongoing effort to diagnose and treat the symptoms associated with Parkinson’s disease. The PARK test project aims to empower individuals to diagnose, monitor, and track their Parkinson’s symptoms in real-time. Typically, diagnosing this disease requires an expert neurologist. Furthermore, a test doesn’t currently exist for explicitly diagnosing Parkinson’s disease -- individuals are diagnosed by neurologists after examination and observation of symptoms associated with Parkinson’s disease.

Through the work at PARK Test, we will allow individuals to better understand symptoms associated with Parkinson’s disease, identify such symptoms, and contrast their results with expected results to illustrate symptoms associated with Parkinson’s disease. By utilizing facial recognition tools like OpenFace and Affectiva, this project will parse movement patterns that are typical for individuals with Parkinson’s disease. It will then display these movement patterns in a readable and easily comprehensible illustration that will allow a general audience to understand how their symptoms align with typical Parkinson’s symptoms.