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Building a More Robust Model for Open Muscle: The Need for Diverse Training Data

The field of prosthetics has advanced tremendously in recent years, thanks to cutting-edge technology and the collaborative efforts of researchers and engineers worldwide. Open Muscle, an open-source and open hardware project, is at the forefront of this innovation, harnessing the power of machine learning to improve the lives of amputees and those with limited mobility. Recently, we have made significant progress in detecting finger movement, but we need your help to take our project to the next level.

The Open Muscle System:

Our revolutionary Open Muscle system features a bracelet equipped with 12 pressure sensors utilizing hall effect sensors, magnets, and springs. These sensors work in conjunction with our proprietary LASK system, which comprises four pressure sensors for the index, middle, ring, and pinky fingers. The LASK system provides label data to the 12 main sensors, enabling us to accurately detect finger movement.

Progress and Challenges:

We’ve achieved remarkable results in detecting finger movement, a critical milestone for our project. However, we recognize that gathering more data and training a larger machine learning model are essential to optimizing the Open Muscle system’s performance in real-world tests.

Join the Open Muscle Team:

As an open-source and open hardware project, Open Muscle aims to democratize access to advanced prosthetic technology, fostering a collaborative and inclusive community of researchers, engineers, and enthusiasts. To take our project to new heights, we are actively seeking engineers, testers, students, and anyone with a passion for advancing prosthetic technology.

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