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Hierarchical Fusion with Decision Enhancement for Human Activity Recognition Using Deep Learning Framework

2025-12-30

Abstract excerpt

<title>Abstract</title> <p>Human Activity Recognition (HAR) is emerging as a critical enabler of context-aware applications in healthcare, fitness, and smart environments. In this research we present an approach that involves the Hierarchical Fusion with Decision Enhancement for Human Activity Recognition (Hi-FuseDE-HAR) framework. It contains four sequential hierarchical levels that transform raw sensor signals...

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Literature Corpus work
cd5851a0-7c83-5681-84b7-c0dc48948150
DOI
10.21203/rs.3.rs-7949557/v1
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