Convolutional Neural Network Based Human Activity Recognition using CSI

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Shahverdi Hossein; Shahbazian Reza; Fard Moshiri Parisa; Asvadi Reza; Ghorashi Seyed Ali

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Journal Paper

Paper Information

Journal: International Journal of Information and Communication Technology Research Year:2023 | Volume:15 | Issue:2 Page(s): 42-48

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Title

Convolutional Neural Network Based Human Activity Recognition using CSI

Author(s)

Keywords

Activity Recognition

Channel State Information

Convolutional Neural Network

Deep Learning

WiFi.

Abstract

Human Activity Recognition (HAR) has the potential to significantly impact applications such as health monitoring, context-aware systems, transportation, robotics, and smart cities. Because of the prevalence of wireless devices, the Wi-Fi-based approach has attracted a lot of attention among other existing methods such as sensor-based and vision-based HAR. Wi-Fi devices can be used to distinguish between daily activities such as "walking," "running," and "sleeping," which affect Wi-Fi signal propagation. This paper proposes a Deep Learning method for HAR tasks that makes use of Channel State Information (CSI). We convert the CSI data to RGB images and classify the Activity Recognition using a 2D-Convolutional Neural Network (CNN). We evaluate the performance of the proposed method on two publicly available datasets for CSI data. Our experiments show that converting data into RGB images improves performance and accuracy compared to our previous method by at least 5%.

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