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Development of AI-Powered Pose Detection Mobile Application for Home Rehabilitation and Fitness Training
  1. case
  2. Development of AI-Powered Pose Detection Mobile Application for Home Rehabilitation and Fitness Training

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Development of AI-Powered Pose Detection Mobile Application for Home Rehabilitation and Fitness Training

dac.digital
Health & Fitness
Sports
Information Technology

Challenges in Home Rehabilitation and Exercise Technique Accuracy

Limited access to professional rehabilitation services due to overloaded healthcare systems and mobility constraints, combined with risks of injury from incorrect exercise execution during unsupervised home workouts. Existing solutions lack accurate real-time feedback mechanisms for posture correction.

About the Client

Norwegian startup specializing in digital wellbeing solutions, focusing on physiotherapy, rehabilitation, and fitness applications

Objectives for AI-Driven Rehabilitation Application

  • Develop precise real-time pose detection system using smartphone cameras
  • Implement exercise technique assessment with instant corrective feedback
  • Create intuitive interface for users of varying technical proficiency
  • Scale solution from rehabilitation use cases to general fitness training
  • Ensure medical-grade accuracy while maintaining consumer accessibility

Core System Functionalities and Features

  • Real-time pose detection using front-facing camera
  • Exercise technique assessment with visual/audio feedback
  • Error correction guidance through augmented reality overlays
  • Camera calibration for environmental adaptation
  • User progress tracking and exercise history dashboard

Technology Stack Requirements

Google MediaPipe for pose detection
Python with OpenCV for computer vision processing
TensorFlow Lite for on-device ML inference
Mobile app development frameworks (React Native/Swift)

System Integration Needs

  • Smartphone sensor APIs (camera, gyroscope, accelerometer)
  • Cloud storage for user data synchronization
  • Third-party authentication services

Performance and Quality Attributes

  • 95%+ pose detection accuracy in varied lighting conditions
  • Real-time processing at 30+ FPS on mid-range devices
  • HIPAA-compliant data security for medical users
  • Cross-platform compatibility (iOS/Android)
  • Scalable cloud infrastructure for global deployment

Transforming Home Rehabilitation and Fitness Training

Democratize access to professional-grade rehabilitation services, reduce healthcare system burden through preventive technology, minimize exercise-related injuries via real-time correction, and create new revenue streams through consumer fitness market expansion while establishing Kinetech as a leader in AI-powered health solutions.

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