This repository contains software and firmware for the OpenMuscle system, which captures and interprets muscle signals from flexible pressure-sensing devices like LASK5 and FlexGrid. It supports both embedded firmware and PC-side applications for machine learning and real-time prediction.

This repo is part of the larger OpenMuscle Hub, which provides:

• 🔧 Hardware design files and schematics
• 📜 Documentation and guides
• 🧪 Data pipelines and ML model training resources
• 🎓 Educational content and community links

• 📡 Wi-Fi Data Streaming via UDP packets from ESP32-based sensors
• 🧠 Machine Learning Integration for gesture and motion inference
• 📊 Real-Time Prediction and Visualization on PC
• ⚙️ Cross-platform scripts and libraries for research, prototyping, and evaluation

OpenMuscle-Software/
├── embedded/          # MicroPython and C firmware
│   ├── LASK5/         # LASK5 hardware versions (V2, V3...)
│   ├── FlexGrid/      # FlexGrid embedded sensor band
│   └── SensorBand/    # Legacy OM12 and early band prototypes
├── pc/                # Python tools for data acquisition and ML
│   └── ...            # UDP receiver, model loader, data visualizer
├── LICENSE
└── README.md

git clone https://github.com/Open-Muscle/OpenMuscle-Software.git
cd OpenMuscle-Software
pip install -r requirements.txt

• OpenMuscle-FlexGrid: Flexible 60-sensor band PCB files
• OpenMuscle-LASK5: Labeling hardware schematics
• OpenMuscle-Hub: Central documentation and roadmap
• OpenMuscle-Band: Early MVP prototypes

Want to help build the future of prosthetic sensing? We welcome contributions in Python, MicroPython, C, hardware design, and documentation. A full contributor guide is coming soon!