Introduction: The uLabel system, an evolution of the LASK4 device, is a groundbreaking project jointly developed by Ultimate Robotics and Open Muscle. It's designed to measure the movement and force of all five fingers, expanding its capabilities beyond the original four-finger design.
- Five-Finger Measurement: Enhanced from the LASK4's four-finger model, uLabel accurately measures all five fingers.
- Somatosensory Feedback: As a somatosensory device, it provides real-time feedback for hand rehabilitation, enhancing the user's recovery journey.
- D'Addario Finger Training Integration: Maintains the use of the D'Addario finger training device, ensuring consistent quality and user experience.
- Customizable Components: Comes with custom 3D STL file add-ons and a specially designed PCB for precise movement and force measurement.
- Machine Learning Applications: Ideal for feature data labeling in machine learning, it plays a crucial role in AI research and development.
- Connectivity: The uLabel system utilizes UDP packets via the ESP32-S2 for transmitting sensor data to an accompanying computer.
- Software: The system operates on micropython, embracing open-source and open-hardware principles. This facilitates widespread innovation and adaptability, allowing others to build upon and enhance the design.
- Versatility: Initially aimed at hand rehabilitation, uLabel's potential extends to labeling training data for the Open Muscle Band in the prosthetics biometric sensor domain. Its adaptable design hints at future applications for measuring movement and force in other body parts.
Explore More: For a deeper insight into uLabel's capabilities in machine learning and hand rehabilitation, check out our latest video featuring the system in action. Stay updated with our project's progress and access all necessary resources on our GitHub page.
Check out the latest video showing the LASK system being used in machine learning for open muscle!
The uLabel Version Zero prototype was sponsored by PCBWay!