Addressing location dependency in human activity recognition using channel state information via 3D- CWT approach

Abuhoureyah, Fahd Saad and Wong, Yan Chiew and Mohd Isira, Ahmad Sadhiqin and Chuah, Joon Huang (2023) Addressing location dependency in human activity recognition using channel state information via 3D- CWT approach. In: 5th IEEE International Conference on Artificial Intelligence in Engineering and Technology, IICAIET 2023, 12 September 2023through 14 September 2023, Kota Kinabalu.

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Abstract

This work presents an exceptional approach to address the location dependency challenge in Human Activity Recognition (HAR) using Channel State Information (CSI). HAR using CSI has shown promise in capturing fine-grained motion information; however, the performance of models varies significantly across different locations or positions. To mitigate this limitation, we propose an innovative solution based on 3D Continuous Wavelet Transform (CWT) that simultaneously captures spatial and temporal information. Experimental results demonstrate the effectiveness of the proposed approach in reducing location dependency and improving activity recognition accuracy across diverse environments.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	3D continuous wavelet transform (CWT), Channel state information (CSI), Human activity recognition (HAR), WiFi sensing, Location independent CSI sensing
Divisions:	Faculty Of Electronics And Computer Technology And Engineering
Depositing User:	Maizatul Najwa Ahmad
Date Deposited:	14 Oct 2024 17:28
Last Modified:	14 Oct 2024 17:28
URI:	http://eprints.utem.edu.my/id/eprint/27958
Statistic Details:	View Download Statistic

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