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

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 acr...

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Main Authors: Abuhoureyah, Fahd Saad, Wong, Yan Chiew, Mohd Isira, Ahmad Sadhiqin, Chuah, Joon Huang
Format: Conference or Workshop Item
Language:English
Published: 2023
Online Access:http://eprints.utem.edu.my/id/eprint/27958/1/Addressing%20location%20dependency%20in%20human%20activity%20recognition%20using%20channel%20state%20information%20via%203D-%20CWT%20approach.pdf
http://eprints.utem.edu.my/id/eprint/27958/
https://ieeexplore.ieee.org/document/10292053
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id my.utem.eprints.27958
record_format eprints
spelling my.utem.eprints.279582024-10-14T17:28:06Z http://eprints.utem.edu.my/id/eprint/27958/ Addressing location dependency in human activity recognition using channel state information via 3D- CWT approach Abuhoureyah, Fahd Saad Wong, Yan Chiew Mohd Isira, Ahmad Sadhiqin Chuah, Joon Huang 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. 2023 Conference or Workshop Item PeerReviewed text en http://eprints.utem.edu.my/id/eprint/27958/1/Addressing%20location%20dependency%20in%20human%20activity%20recognition%20using%20channel%20state%20information%20via%203D-%20CWT%20approach.pdf 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. https://ieeexplore.ieee.org/document/10292053
institution Universiti Teknikal Malaysia Melaka
building UTEM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
url_provider http://eprints.utem.edu.my/
language English
description 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.
format Conference or Workshop Item
author Abuhoureyah, Fahd Saad
Wong, Yan Chiew
Mohd Isira, Ahmad Sadhiqin
Chuah, Joon Huang
spellingShingle Abuhoureyah, Fahd Saad
Wong, Yan Chiew
Mohd Isira, Ahmad Sadhiqin
Chuah, Joon Huang
Addressing location dependency in human activity recognition using channel state information via 3D- CWT approach
author_facet Abuhoureyah, Fahd Saad
Wong, Yan Chiew
Mohd Isira, Ahmad Sadhiqin
Chuah, Joon Huang
author_sort Abuhoureyah, Fahd Saad
title Addressing location dependency in human activity recognition using channel state information via 3D- CWT approach
title_short Addressing location dependency in human activity recognition using channel state information via 3D- CWT approach
title_full Addressing location dependency in human activity recognition using channel state information via 3D- CWT approach
title_fullStr Addressing location dependency in human activity recognition using channel state information via 3D- CWT approach
title_full_unstemmed Addressing location dependency in human activity recognition using channel state information via 3D- CWT approach
title_sort addressing location dependency in human activity recognition using channel state information via 3d- cwt approach
publishDate 2023
url http://eprints.utem.edu.my/id/eprint/27958/1/Addressing%20location%20dependency%20in%20human%20activity%20recognition%20using%20channel%20state%20information%20via%203D-%20CWT%20approach.pdf
http://eprints.utem.edu.my/id/eprint/27958/
https://ieeexplore.ieee.org/document/10292053
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score 13.211869

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