ExoGrip is a wearable exoskeleton built to assist patients with hand mobility challenges such as stroke recovery, injury rehabilitation, and grip weakness.
Our system leverages Machine Learning (ML) algorithms to provide *personalized recovery insights, progress tracking, and adaptive support, making rehabilitation more effective, affordable, and accessible.
- Hand Motion Assistance – Supports natural grabbing and releasing movements.
- Performance Feedback – Tracks therapy sessions and recovery data.
- Therapist Integration – Enables expert guidance for better outcomes.
- Lightweight & Ergonomic – Designed for daily comfort.
- ML-Powered Adaptation – Learns patient patterns and adjusts therapy plans.
- Core motion assistance
- Lightweight and affordable
- All Standard features
- Feedback & progress monitoring
- 24/7 support + therapist guidance
- Machine Learning–based adaptive recovery
- Hardware: 3D-printed frame, lightweight actuators
- Electronics: Arduino / ESP32 microcontrollers
- Software: C++, Python
- ML Algorithms: Motion pattern recognition, adaptive grip control
- Dashboard (Planned): Web interface using HTML, CSS, JavaScript
Our mission is to make *rehabilitation technology accessible to everyone, enabling patients to *regain independence, strength, and confidence through intelligent, affordable, and scalable solutions.