Repositories

All of our work is open source. Explore the hardware designs, firmware, software, and documentation that make up the OpenMuscle ecosystem.

Central documentation and project hub for the OpenMuscle ecosystem.

60-sensor (15x4) forearm band with flexible PCB and ESP32-S3. Current flagship hardware.

Label Acquiring System K5 — handheld device for capturing ground-truth finger positions for ML training.

Python & MicroPython codebase for data collection, preprocessing, and Random Forest finger prediction.

Device firmware for OpenMuscle hardware including ESP32-S3 FlexGrid boards.

MicroPython firmware specifically for ESP32-S3 FlexGrid V1 hardware.

Original OM-12 armband with 12 sensors. Legacy MVP that proved the concept.

Original repository with early datasets and proof of concept. 47+ stars on GitHub.