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: 12 days ago
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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 3 years ago)
• Default Branch: main
• Last Pushed: 2021-01-15T07:12:18.000Z (over 3 years ago)
• Last Synced: 2024-05-07T18:22:13.816Z (about 2 months ago)
• Language: Python
• Size: 5.27 MB
• Stars: 1
• Watchers: 2
• Forks: 0
• Open Issues: 0

Lists

• awesome-yolo-object-detection - avral1810/parkinsongait