LASK4 The Label Seeking Somatosensory Device (Finger Movement Detector)

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LASK4 Label Seeking Device for Machine Learning Applications

Finger Movement Detection System

The LASK4 system is a groundbreaking device created by Open Muscle that measures the movement and force of all four fingers. The system includes a D\’Addario finger training device, custom 3D STL file add-ons, and a custom PCB with electronics for measuring the movement and force. It is also considered a somatosensory device, providing real-time feedback to individuals undergoing hand rehabilitation.

The LASK4 system uses UDP packets via the ESP32-S2 to transmit sensor data to an accompanying computer. The software is currently written in micropython and is both open-source and open-hardware. This allows for greater adaptability and innovation, as other individuals can build upon the design and create even more innovative products in the future.

One of the most exciting things about the LASK4 system is its potential applications beyond hand rehabilitation. The device was designed to label the training data accumulated by the Open Muscle Band for use in the prosthetics biometric sensor arena. This means that the LASK4 system could potentially be adapted to measure movement and force in other areas of the body, opening up possibilities for new and innovative uses.

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Open Source & Open Hardware

Open-hardware is particularly helpful for the field of prosthetic sensors because it allows for greater adaptability and innovation in the design and development of prosthetic devices. By making the hardware design files openly available, designers and engineers can access and modify the design to suit their specific needs. This not only speeds up the design process but also allows for the creation of more personalized and customized prosthetic devices.

Moreover, open-hardware fosters collaboration and knowledge-sharing within the community of designers, engineers, and researchers working in the field of prosthetic sensors. By sharing ideas, expertise, and design files, the community can collectively create better and more effective devices, advancing the field as a whole.

The open-hardware aspect of the LASK4 is particularly helpful in this regard, as it allows for other individuals and organizations to build upon the original design and create new and innovative products based on the LASK4 system. This could lead to the development of more sophisticated prosthetic sensors, benefiting even more individuals who require prosthetic devices to improve their quality of life.

Github Repository

https://github.com/turfptax/lask4

Parts List sourced by Amazon:

Part Name# of ItemsLink
D’Addario Varigrip Hand Exerciser1Amazon Link
ESP32-S2 Mini1Amazon Link
SSD1306 128×321Amazon Link
Charging Module1Amazon Link
6mm Push Buttons4Amazon Link
M2 Screws3Amazon Link
M2 Nuts3Amazon Link
Parts Lists with Amazon Links

Designing Process

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Original LASK4 Prototype captured along-side Open Muscle Band 12. The LASK was designed to apply label data to the feature data from OM-12.
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