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Human Activity Recognition in the Deep Learning Era: Different Modalities, Recent Advances in Applications, and Emerging Techniques

2025-12-10

Abstract excerpt

Human Action Recognition (HAR) has grown into one of the most active areas in computer vision, finding uses in healthcare, smart homes, security, autonomous driving, and even human–robot interaction. Over the past decade, deep learning has transformed how HAR is approached. Instead of relying on handcrafted features, modern models learn directly from raw data, whether that comes from RGB videos, skeleton sequences...

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Literature Corpus work
af14d06b-d518-5a46-9575-db047e3f3ec2
DOI
10.20944/preprints202512.0906.v1
Open publication

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Human Activity Recognition in the Deep Learning Era: Different Modalities, Recent Advances in Applications, and Emerging TechniquesDOI 10.20944/preprints202512.0906.v1
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