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https://github.com/gokulnpc/ai-personal-trainer
This project utilizes MediaPipe, OpenCV, and a pose estimation module to create a real-time fitness tracker focusing on counting dumbbell curls. The user stands in front of a camera, and the program calculates the angle between the shoulder, elbow, and wrist to determine the movement direction and count the number of curls performed.
https://github.com/gokulnpc/ai-personal-trainer
ai-personal-assistants computer-vision deep-learning mediapipe pose-detection python
Last synced: 29 days ago
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This project utilizes MediaPipe, OpenCV, and a pose estimation module to create a real-time fitness tracker focusing on counting dumbbell curls. The user stands in front of a camera, and the program calculates the angle between the shoulder, elbow, and wrist to determine the movement direction and count the number of curls performed.
- Host: GitHub
- URL: https://github.com/gokulnpc/ai-personal-trainer
- Owner: gokulnpc
- Created: 2024-04-17T05:59:20.000Z (9 months ago)
- Default Branch: main
- Last Pushed: 2024-04-17T06:03:31.000Z (9 months ago)
- Last Synced: 2024-04-17T09:21:58.393Z (9 months ago)
- Topics: ai-personal-assistants, computer-vision, deep-learning, mediapipe, pose-detection, python
- Language: Python
- Homepage:
- Size: 1.16 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Real-time Pose-Based Fitness Tracker
This project utilizes MediaPipe, OpenCV, and a pose estimation module to create a real-time fitness tracker focusing on counting dumbbell curls. The user stands in front of a camera, and the program calculates the angle between the shoulder, elbow, and wrist to determine the movement direction and count the number of curls performed.
