Performance evaluation of deep learning techniques for human activity recognition system

Human Activity Recognition (HAR) is crucial in various applications, such as sports and surveillance. This paper focuses on the performance evaluation of a HAR system using deep learning techniques. Features will be extracted using 3DCNN, and classification will be performed using LSTM. Meanwhile, 3...

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Veröffentlicht in:	Journal of physics. Conference series 2023-11, Vol.2641 (1), p.12012
Hauptverfasser:	Low, Kah Sin, Eng, Swee Kheng
Format:	Artikel
Sprache:	eng
Schlagworte:	Classification Deep learning Human activity recognition Machine learning Performance evaluation Physics
Online-Zugang:	Volltext
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