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://www.animationbengal.com/?w=deal-time-the-best-of-shirley-temple-vol-ii-online-now-super-choice