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.
Become a Hackaday.io Member
Create an account to leave a comment. Already have an account? Log In.