Hybrid feature selection technique for classification of human activity recognition
Through the advancement of wearable sensors, wireless communication, and machine learning techniques, Assistive Technologies (AT) which endorse autonomous, active, and healthy lifestyles are emerging in recent years. Among these advances, Human Activity Recognition (HAR) is one of the most innovativ...
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| 主要作者: | |
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| 格式: | Thesis |
| 語言: | English |
| 出版: |
2021
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| 主題: | |
| 在線閱讀: | http://eprints.utm.my/id/eprint/101548/1/NorfadzlanYusupPSC2021.pdf |
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