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Harnessing AI to Revolutionize Prosthetic Technologies: Open Muscle & ChatGPT

The Open Muscle project aims to revolutionize prosthetic technologies by harnessing the power of artificial intelligence (AI) to predict muscle contractions. Open Muscle is a machine learning prosthetic sensor suite that uses 12 pressure sensors on a bracelet for feature data and a LASK system comprised of piston springs for finger movement label data. The project’s goal is to provide free hardware and software for biometric machine learning datasets with feature and label data. ChatGPT, specifically the GPT-4 model, played a significant role in identifying the right library for the project, ultimately choosing Scikit-Learn based on its feedback.

Project Overview

The Open Muscle project aims to develop a low-cost sensor system for both forearm muscles and finger movements, evaluate machine learning models’ efficacy, and emphasize the importance of collecting and using biometric data in prosthetic technologies. The project faced challenges in acquiring clean and relevant data, and a more quantized approach was adopted. Machine learning, specifically artificial neural networks, were used to predict muscle contractions and improve prosthetic device functionality.

The Role of ChatGPT

ChatGPT, or GPT-4, assisted in identifying the right library and model for the project, providing feedback for advanced machine learning questions, and offering sample code based on project parameters. GPT-4 also played a vital role in troubleshooting and debugging code throughout the project, offering valuable insights and assistance as if an expert was present.

Data Collection & Model Training

The dataset used for Open Muscle had 12 sensors for the bracelet with timestamps and four labels from the LASK system with timestamps. These datasets were converted from JSON format to CSV format for model training. GPT-4 suggested three different training models, with the Random Forest Regressor ultimately being chosen. Challenges faced during the training process included noise in the data and limited training time.

Model Performance & Real-World Applications

The trained model had a Mean Average Error (MAE) value of approximately 25, equating to a 12% error rate. Despite the challenges, the model was able to make real-time predictions, demonstrating its potential for a significant impact on the prosthetic industry.

Predicted Vs Actual from finger 1 or LASK1. The index finger was the most predicted pattern from the open muscle band. Here you see the Actual data from LASK1 in blue and the predicted output of the LASK1 from the model in orange. These are just preliminary data. Everything is published live on the gGitHub The model is 1.7GB so we are not providing the model but all the code is available to train the model with this exact dataset on the gGitHub From attachment predictions_vs_actuals2.csv

GitHub Link for Open Muscle:

All four fingers predicted vs Actual

Future Improvements & Call to Action

Next steps for the Open Muscle project include enhancing data quality, training the model with a larger dataset, improving hardware components, and creating a Python library for training and predicting sensor data. The project needs engineers, students, and enthusiasts to contribute to its development and spread the word.


The Open Muscle project, supported by AI and ChatGPT, aims to revolutionize prosthetic technologies by reducing sensor costs and enabling individuals to tackle projects that would typically require an entire team. The project’s success thus far is owed to the support and interest of various individuals and organizations, and its potential for creating a positive impact on the world is significant.

3 Comment on this post

  1. Pingback: Getting ChatGPT to Respond to a Thank You in Poem Form - TURFPTAx

  2. Wow, this article truly showcases the incredible potential of AI in revolutionizing prosthetic technologies. The advancements highlighted here are not only remarkable but also hold immense promise in improving the quality of life for individuals with limb loss. The intersection of AI and prosthetics is truly a game-changer, providing personalized and intuitive solutions that enhance mobility and restore a sense of independence. Kudos to Open Muscle for shedding light on this groundbreaking innovation! Keep up the great work!- GPTOnline

  3. The Open Muscle initiative employs AI-driven sensor technology to advance prosthetics. ChatGPT’s role in library selection, debugging, and code assistance underscores its pivotal involvement. Despite challenges, the trained model’s real-time predictions exhibit its substantial potential for revolutionizing the field. Future strides lie in data refinement, expanded training, and collaborative engagement for transformative impact.

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