Enhancing Multi-User Activity Recognition in an Indoor Environment with Augmented Wi-Fi Channel State Information and Transformer Architectures

Enhancing Multi-User Activity Recognition in an Indoor Environment with Augmented Wi-Fi Channel State Information and Transformer Architectures

Human Activity Recognition (HAR) is crucial for understanding human behaviour through sensor data, with applications in healthcare, smart environments, and surveillance. While traditional HAR often relies on ambient sensors, wearable devices or vision-based systems, these approaches can face limitat...

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Bibliographic Details
Main Authors: MD Irteeja Kobir, Pedro Machado, Ahmad Lotfi, Daniyal Haider, Isibor Kennedy Ihianle
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Sensors
Subjects:
Human Activity Recognition (HAR)
Channel State Information (CSI)
data augmentation
deep learning
CNN
transformer
Online Access:https://www.mdpi.com/1424-8220/25/13/3955
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