N04 : Gait Trace: ML Powered Parkinson's Detection in 30 Seconds
| Students | Devan Hazra
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| School | HDSB - W. H. Morden Public School - Oakville |
| Level | Junior 7/8 - Grade 8 |
| Group | Group 13 - Engineering and Computing V |
| Abstract | Gait Trace provides an uninvasive, 30-45 second long diagnosis method for those who are at risk of having Parkinson’s Disease, especially for those who cannot see doctors easily. User-recorded movement data from raw accelerometers and gyroscopes available on most smartphones are passed through a neural network that then analyzes the information, and produces a score based on how likely the user is to have Parkinson’s. |