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Optimizing HAR Systems: Comparative Analysis of Enhanced SVM and k-NN Classifiers

Abstract This research addresses the accuracy issues in IoT-based human activity recognition (HAR) applications, essential for health monitoring, elderly care, gait analysis, security, and Industry 5.0. This study uses 12 machine learning approaches, split equally between support vector machine (SVM...

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Principais autores: Ahmed Younes Shdefat, Nour Mostafa, Zakwan Al-Arnaout, Yehia Kotb, Samer Alabed
Format: Artigo
Sprog:Inglês
Udgivet: Springer 2024-06-01
Serier:International Journal of Computational Intelligence Systems
Fag:
HAR
IoT
Pervasive
Machine learning classifiers
k-NN
SVM
Online adgang:https://doi.org/10.1007/s44196-024-00554-0
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