Automated parkinsons disease diagnosis using decomposition techniques and deep learning for accurate gait analysis
Project Code :TEMBMA3730
Objective
To develop an AI-based, low-cost diagnostic tool using Raspberry Pi and deep learning to analyze gait patterns captured via webcam and assist in the early detection of Parkinson’s Disease by distinguishing Parkinsonian and non-Parkinsonian movements.
Related Topics
Paper Publishing
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