https://github.com/avral1810/parkinsongait
Utilized sensor data installed on foot to classify if a test subject has Parkinson’s Disease through Random Forest • Devised a basic feed forward neural network approach to predict if test subjects have Parkinson’s Disease • Applied YOLO classifiers in Tensorflow to identify joints, such as hips, knees, and ankles
https://github.com/avral1810/parkinsongait
Last synced: 17 days ago
JSON representation
Utilized sensor data installed on foot to classify if a test subject has Parkinson’s Disease through Random Forest • Devised a basic feed forward neural network approach to predict if test subjects have Parkinson’s Disease • Applied YOLO classifiers in Tensorflow to identify joints, such as hips, knees, and ankles
- Host: GitHub
- URL: https://github.com/avral1810/parkinsongait
- Owner: avral1810
- Created: 2021-01-15T07:08:00.000Z (over 4 years ago)
- Default Branch: main
- Last Pushed: 2021-01-15T07:12:18.000Z (over 4 years ago)
- Last Synced: 2024-11-09T17:42:34.715Z (6 months ago)
- Language: Python
- Size: 5.27 MB
- Stars: 1
- Watchers: 2
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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