Fitness Movement Analyzing System

The Fitness Movement Analyzing System is an innovative web application that utilizes MediaPipe and TensorFlow.js to recognize key human body landmarks and calculate specific joint angles to count and score five types of fitness exercises, such as push-ups and sit-ups. This system provides detailed exercise evaluation and feedback, allowing users to monitor and improve their fitness performance.

Features

1. Exercise Evaluation: Analyze fitness movements from real-time camera input or uploaded video files.
2. Responsive Design with Multi-Language Support: Optimized for both mobile and desktop environments, with support for both English and Chinese, ensuring a smooth user experience across devices and languages.
3. Personalized Data Management: Each user has a dedicated account where personal workout data is securely stored, enabling individual fitness history tracking.
4. Personalized Training Recommendations: The system offers comprehensive visualizations of past performance with detailed analytics and tailored training recommendations based on workout data.

System Architecture

The system is built with React.js for the front end and Express.js for the back end. It leverages MediaPipe for motion tracking and TensorFlow.js for real-time analysis.

Screenshots

• Movement Evaluation Page

• History Data & Personalized Suggestions Interface

Dependencies

• node.js
• sqlite3

Installation and Deployment

1. Install the necessary packages:

   npm install

2. Build the application:

   npm run build

3. Initialize the database:

   node database.js

4. Start the server:

   node app.js