Enhancing Wearable-Based Human Activity Recognition with Binary Nature-Inspired Optimization Algorithms for Feature Selection

This research paper explores the performance of binary nature-inspired optimization algorithms as feature selection to enhance the identification of human activities using wearable technology. Utilization of nature-inspired algorithms for feature selection, as documented in scholarly literature, pr...

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Bibliographic Details

Main Authors:	Norfadzlan, Yusup, Izzatul Nabila, Sarbini, Dayang Nurfatimah, Awang Iskandar, Azlan, Mohd Zain, Didik Dwi, Prasetya
Format:	Article
Language:	en
Published:	Semarak Ilmu Publishing 2026
Subjects:	QA Mathematics QA75 Electronic computers. Computer science
Online Access:	http://ir.unimas.my/id/eprint/47674/1/ARASETV56_N1_PP1_12.pdf http://ir.unimas.my/id/eprint/47674/ https://semarakilmu.com.my/journals/index.php/applied_sciences_eng_tech/article/view/6092 https://doi.org/10.37934/araset.56.1.112
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