Human Pose Analysis
1. Project Background
In marathon and long-distance running, movement quality directly impacts performance and injury risk. Before visiting rehabilitation centers, runners often lack convenient and scientific self-assessment tools, making it difficult to identify posture deviations or potential injury risks early.
To address this gap, the client aimed to develop an AI-powered human pose analysis app that enables users to complete basic movement assessments via a smartphone camera, automatically evaluate posture accuracy, and generate data-driven reports to support subsequent rehabilitation screening.
2. Client Needs & Objectives
The project set out to build an AI assessment system for “pre-race screening + scientific evaluation,” helping athletes and rehabilitation users assess movement quality during daily use.
Key requirements included:
- AI Pose Detection — Identify whether movements meet standards by analyzing joint angles and posture deviations;
- Guided Testing Workflow — Step-by-step guidance through three standardized assessment movements;
- Automated Evaluation Reports — Visual scores, insights, and actionable improvement suggestions;
- Result Tracking & Multi-Role Management — Seamless data sharing across users, clinicians, and backend systems.
3. Key Features
- AI-Based Pose Recognition: Real-time capture of body keypoints to detect posture deviations and angle errors;
- Standardized Motion Benchmarking: Automatic comparison against reference movements with visualized reports;
- Data Tracking: Historical result comparisons to visualize progress and improvement trends;
- Multi-Role Collaboration: Assessment data can be shared with clinicians and management platforms, forming a complete detection–evaluation–rehabilitation loop.
4. Outcomes & Feedback
After launch, the app was adopted by multiple sports rehabilitation institutions and training centers for pre-training screening and rehabilitation data collection. Users praised its ease of use and clear reports, enabling early detection of movement issues before training and helping prevent injuries while providing rehabilitation centers with more precise baseline data.