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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| Hlavní autoři: | , , , , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Springer
2024-06-01
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| Edice: | International Journal of Computational Intelligence Systems |
| Témata: | |
| On-line přístup: | https://doi.org/10.1007/s44196-024-00554-0 |
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