Parkinson's disease assessment using mobile phone camera.

This dataset consists of 200 CSV files containing numerical facial movement data for Parkinson's disease assessment. The raw video footage was processed and feature-extracted using OpenFace 2.0; no original videos or identifiable images are included in this repository. File Naming Convention: Case 1-20: Anonymous participant identifiers. 'hal': Healthy Control participants. 'Par': Participants with Parkinson’s Disease. V 1-5: Represents the video sequence number (1st to 5th recording). Each CSV file contains 714 columns, including frame numbers, timestamps, confidence scores, and numerical facial landmark coordinates (all identifiable visual data has been converted into mathematical estimates).