Ensemble Filter Based Feature Selection Technique for Classification of Human Activity Recognition
Through the advancement of wearable sensors, wireless communication, and machine learning techniques, Assistive Technologies (AT) which endorse autonomous, active, and healthy lifestyles are emerging in recent years. Among these advances, Human Activity Recognition (HAR) is one of the most innovati...
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| Main Authors: | , |
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| Format: | Article |
| Language: | en |
| Published: |
AIP Publishing
2025
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| Subjects: | |
| Online Access: | http://ir.unimas.my/id/eprint/48833/4/AIP.pdf http://ir.unimas.my/id/eprint/48833/ https://pubs.aip.org/aip/acp/article-abstract/3056/1/060006/3342672/Ensemble-filter-based-feature-selection-technique?redirectedFrom=fulltext https://doi.org/10.1063/5.0208886 |
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