Automated AI Workflow for Analyzing Weightlifting Form

Automated Form Analysis for Weightlifting Exercises

1. Data Collection

1.1 Video Input

Collect video footage of athletes performing weightlifting exercises. This can be achieved using:

• Smartphones with high-resolution cameras
• Action cameras (e.g., GoPro)
• Dedicated sports cameras with slow-motion capabilities

1.2 Data Annotation

Label key points of interest in the video, such as:

• Starting position
• End position
• Joint angles
• Movement path

2. AI Model Development

2.1 Selection of AI Tools

Utilize AI-driven products to analyze the collected data:

• OpenPose: For real-time pose detection and tracking.
• TensorFlow: To build and train custom machine learning models.
• PyTorch: For dynamic computation graphs in model training.

2.2 Model Training

Train the AI model using annotated video data to recognize and analyze proper form and technique.

3. Form Analysis

3.1 Real-Time Feedback

Implement real-time feedback mechanisms using:

• AI algorithms to assess form during the lift
• Alert systems for incorrect posture or movement

3.2 Post-Exercise Analysis

Provide detailed reports post-exercise, including:

• Joint angle metrics
• Movement efficiency scores
• Recommendations for improvement

4. User Interface Development

4.1 Dashboard Creation

Design a user-friendly interface that displays:

• Video playback with overlays for analysis
• Graphs and metrics for performance tracking
• User feedback section for additional insights

4.2 Mobile Application Integration

Develop a mobile application for easy access to analysis and feedback on-the-go.

5. Continuous Improvement

5.1 User Feedback Collection

Gather user feedback to refine algorithms and improve the user experience.

5.2 Model Updates

Regularly update the AI models based on new data and advancements in weightlifting techniques.

6. Compliance and Safety

6.1 Data Privacy

Ensure compliance with data protection regulations when handling user videos and personal information.

6.2 Safety Protocols

Integrate safety protocols to alert users of potential injury risks during analysis.