CTS-Glove Project

Overview

The CTS-Glove Project is a rehabilitation support platform designed to assist patients with carpal tunnel syndrome and related conditions. By combining computer vision, wearable sensors, and a cloud-hosted dashboard, the system empowers patients and clinicians to track therapy exercises, monitor progress, and gain actionable insights into recovery.

Our software team is building an AWS-hosted application that integrates real-time camera-based tracking with sensor data from a custom glove, creating a unified tool for visualizing, tracking, and analyzing rehabilitation data.

---

Project Goals

1. Camera-Based Exercise Tracking

   • Use hand-tracking AI (MediaPipe / TensorFlow.js) to monitor therapy exercises.
   • Provide accuracy metrics for each attempt.
   • Visualize exercise performance trends over time with intuitive graphs.

2. Grip Strength Monitoring

   • Capture grip force data from glove FSR sensors.
   • Track progression session by session.
   • Display stock-style graphs to show long-term improvement.

3. Heart Rate & Exertion Analysis

   • Monitor heart rate during exercises.
   • Combine exertion and strength into a single recovery metric.
   • Help clinicians understand both effort and performance together.

4. Unified Dashboard

   • Provide patients and clinicians with a central hub for all data.
   • Make metrics easy to interpret with clean, modern visualizations.
   • Ensure data is stored, persistent, and accessible.

---

Roadmap

• Phase 1: Core infrastructure (AWS, Supabase, authentication).
• Phase 2: Camera-based hand tracking prototype.
• Phase 3: Grip strength sensor integration.
• Phase 4: Heart rate & exertion metrics.
• Phase 5: Unified dashboard, visual refinements, and testing.

---

Impact

The CTS-Glove Project aims to transform physical therapy for carpal tunnel patients by:

• Making therapy progress measurable instead of subjective.
• Providing patients with motivating visual feedback that mirrors familiar performance charts.
• Giving clinicians quantitative insights into both recovery strength and exertion levels.
• Enabling remote monitoring and support, helping patients stay on track outside the clinic.

Ultimately, this project bridges the gap between hardware sensors, computer vision, and intuitive software design to create a powerful tool for rehabilitation — one that could be adapted for a wide range of physical therapy applications beyond carpal tunnel treatment.

---

Team

This project is developed by the Purdue MIND CTS-Glove Software Team.

---