High-accuracy human motion recognition is crucial for technologies like assistive robotics and medical prosthetics, focusing on force myography (FMG) signals for effective locomotion classification.
This study introduces a new FMG sensing method using flexible supercapacitive iontronic sensors, which offer exceptional sensitivity and low activation pressure for capturing FMG signals from the thigh.
Testing with 12 participants showed that this method achieved 99% accuracy in classifying various locomotion types, outperforming traditional sensors by up to 10 percentage points, enhancing potential applications in rehabilitation and medical fields.