Workout Form Analysis Model
From idea → to real-time system → to iteration
I built a computer vision system that analyzes workout technique using angle calculations. It tracks body landmarks, detects incorrect posture, counts reps, and provides real-time feedback. When form becomes unsafe, the system triggers an audio warning.
Why it matters
Many people train without a coach. Small mistakes in posture can lead to long-term injuries. This system focuses on catching those mistakes early and helping users fix them instantly.
Validation
The system and approach were validated through feedback from two professionals in the computer vision field (with 6+ and 10+ years of experience), leading to improvements in evaluation logic and robustness.
Watch it in action
See how the system detects mistakes in real time.
How I built it Main Article
A full breakdown of the system, including logic, architecture, and design decisions.
Read full article →Tech stack
How it works
- Detects body landmarks using MediaPipe Pose
- Calculates joint angles (knees, hips, ankles)
- Compares them to safe thresholds
- Detects incorrect posture in real time
- Triggers feedback and sound alerts
- Counts reps and guides full workout
- Provides final summary and feedback