Pei-Chun Kao

Model-Agnostic Meta-Learning for Adaptive Gait Phase and Terrain Geometry Estimation With Wearable Soft Sensors

This letter presents a model-agnostic meta-learning (MAML) based framework for simultaneous and accurate estimation of human gait phase and terrain geometry using a small set of fabric-based wearable soft sensors, with efficient adaptation to unseen subjects and strong generalization across differen