Hybridising feature subset selection with enhanced Deep Belief network for Human Activity recognition to Support Disabled Persons using internet of things–edge–cloud continuum.

Purpose: Human activity recognition (HAR) utilises a wide array of sensors that produce vast amounts of data. Artificial intelligence (AI) is responsible for several HAR, which require significant computation and processing power. This article presents a new Hybrid Feature Selection Approach for Ada...

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Bibliographic Details

Published in:	Disability & Rehabilitation: Assistive Technology Vol. 21; no. 6; pp. 2896 - 2921
Main Authors:	Alabdan, Rana, Alsahafi, Yaser Abdulaziz, Zalah, Ibrahim, Zamani, Abu Sarwar
Format:	algorithm equations & formulas pictorial research tables/charts Journal Article
Published:	Taylor & Francis Ltd Aug2026
Online Access:	View this record in EBSCOhost