Passive Wi-Fi Radar Fall And Non-Fall Motion Classification Using Hybrid PCA-SVM Classifier-Reference-Cited by-同舟云学术

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Passive Wi-Fi Radar Fall And Non-Fall Motion Classification Using Hybrid PCA-SVM Classifier

Published:2023-08-15 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE Symposium on Wireless Technology & Applications (ISWTA)
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Author:

Rashid Nur Emileen Abd¹,Razali Hidayatusherlina²,Saleh Nur Luqman³,Nasarudin Mohd Nazrin Farhan²,Azmi Muhammad Amirul Akmal Khairol²,Ahmed Ali⁴

Affiliation:

1. Universiti Teknologi MARA,College of Engineering,Microwave Research Institute,40450 Shah Alam,Selangor,Malaysia

2. Universiti Teknologi MARA,College of Engineering,School of Electrical Engineering,40450 Shah Alam,Selangor,Malaysia

3. Universiti Tenaga Malaysia,College of Engineering,Institute of Power Engineering,43000 Kajang,Selangor,Malaysia

4. Uruk University,College of Technical Engineering,Department of Medical Devices Engineering Techniques,Baghdad,Iraq

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10249209/10249009/10250116.pdf?arnumber=10250116

Reference15 articles.

1. Human Activity Detection and Coarse Localization Outdoors Using Micro-Doppler Signatures

2. Wi-Fi based passive human motion sensing for in-home healthcare applications

3. A Millimetre-Wave Radar-Based Fall Detection Method Using Line Kernel Convolutional Neural Network

4. An FPGA-based Fall Detection System Using Millimeter-wave Radar and Convolutional Neural Network

5. Multistatic tracking experiment with a WiFiRAD passive radar;wielgo;2015 18th Int Conf Inf Fusion Fusion 2015,2015

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