CSI-Based Human Activity Recognition using Convolutional Neural Networks
Conference paper
Fard Moshiri, P., Nabati, M., Shahbazian, R. and Ghorashi, S. 2021. CSI-Based Human Activity Recognition using Convolutional Neural Networks. 11th International Conference on Computer and Knowledge Engineering (ICCKE 2021). Ferdowsi University of Mashhad, Mashhad, Iran 28 - 29 Oct 2021 IEEE. https://doi.org/10.1109/ICCKE54056.2021.9721516
Authors | Fard Moshiri, P., Nabati, M., Shahbazian, R. and Ghorashi, S. |
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Type | Conference paper |
Abstract | Human activity recognition (HAR) as an emerging technology can have undeniable impacts on several applications such as health monitoring, context-aware systems, transportation, robotics, and smart cities. Among the main research methods in HAR (sensor, image, and WiFi-based), the WiFi-based method has attracted considerable attention due to the ubiquity of WiFi devices. WiFi devices can be utilized to distinguish daily activities such as “walk”, “run”, and “sleep”. These activities affect WiFi signal propagation and can be further used to recognize activities. This paper proposes a Deep Learning method for HAR tasks using channel state information (CSI). A new model is developed in which CSI data are converted to grayscale images. These images are then fed into a 2D-Convolutional Neural Network (CNN) for activity classification. We take advantage of CNN's high accuracy on image classification along with WiFi-based ubiquity. The experimental results demonstrate that our proposed approach achieves acceptable performance in HAR tasks. |
Keywords | Activity Recognition; Channel State Information; Convolutional Neural Network; Deep Learning; WiFi |
Year | 2021 |
Conference | 11th International Conference on Computer and Knowledge Engineering (ICCKE 2021) |
Publisher | IEEE |
Accepted author manuscript | License File Access Level Anyone |
Publication dates | |
Online | 28 Feb 2022 |
Publication process dates | |
Accepted | 28 Aug 2021 |
Deposited | 20 Jun 2023 |
Journal citation | pp. 7-12 |
ISSN | 2643-279X |
Book title | 2021 11th International Conference on Computer Engineering and Knowledge (ICCKE) |
ISBN | 9781665402088 |
Digital Object Identifier (DOI) | https://doi.org/10.1109/ICCKE54056.2021.9721516 |
Web address (URL) of conference proceedings | https://ieeexplore.ieee.org/xpl/conhome/9721437/proceeding |
Web address (URL) | https://ieeexplore.ieee.org/document/9721516 |
Copyright holder | © 2021, IEEE |
Copyright information | Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
https://repository.uel.ac.uk/item/8w28z
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Accepted author manuscript
Ghorashi_iccke_2021_accepted.pdf | ||
License: All rights reserved | ||
File access level: Anyone |
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