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...
| Publicado en: | Disability & Rehabilitation: Assistive Technology Vol. 21; no. 6; pp. 2896 - 2921 |
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| Autores principales: | , , , |
| Formato: | algorithm equations & formulas pictorial research tables/charts Journal Article |
| Publicado: |
Taylor & Francis Ltd
Aug2026
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| Acceso en línea: | Ver este registro en EBSCOhost |