Explainable Machine Learning for Human Activity Recognition Using Auxetic cTPU Knee-Worn Sensors
The results demonstrate that auxetic cTPU soft strain sensors combined with machine learning and explainable artificial intelligence provide an accurate and interpretable solution for wearable human activity recognition, highlighting their potential for applications in robotics, healthcare, and human–robot interfaces.