A Comprehensive Survey on Deep Learning Methods in Human Activity Recognition
Michail Kaseris,
Ioannis Kostavelis,
Sotiris Malassiotis
Abstract:Human activity recognition (HAR) remains an essential field of research with increasing real-world applications ranging from healthcare to industrial environments. As the volume of publications in this domain continues to grow, staying abreast of the most pertinent and innovative methodologies can be challenging. This survey provides a comprehensive overview of the state-of-the-art methods employed in HAR, embracing both classical machine learning techniques and their recent advancements. We investigate a plet… Show more
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