Adaptive Feedback-Driven Segmentation for Continuous Multi-Label Human Activity Recognition

Adaptive Feedback-Driven Segmentation for Continuous Multi-Label Human Activity Recognition

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 Bay...

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Bibliographic Details
Main Authors: Nasreddine Belbekri, Wenguang Wang
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Applied Sciences
Subjects:
multi-label classification
continuous human activity recognition
adaptive segmentation
Bayesian optimization
reinforcement learning
Online Access:https://www.mdpi.com/2076-3417/15/6/2905
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