Early Detection of Parkinson’s Disease Using Computer Vision

Non-invasive tests like handwriting using spirals patterns have been used over the years to study writing speed and strength of patients compromised by Parkinson’s. Handwriting tests can be administered at various times during a patient’s treatment to understand the severity of the disease, disease progression, and effect of treatment. In this paper, we study handwriting traces and analyze them using machine learning methods to understand the subject.