Radar-based continuous human activity recognition (HAR) in realistic scenarios faces challenges in segmenting and classifying overlapping or concurrent activities. This paper introduces a feedback-driven adaptive segmentation framework for multi-label classification in continuous HAR. leveraging Bayesian optimization (BO) and reinforcement learning (RL) to dynamically adjust segmentat... https://cosmeticsolutioners.shop/product-category/collections/