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

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第一作者： M D Irteeja,Kobir

第一单位： Department of Computer Science, Nottingham Trent University, 50 Shakespeare St., Nottingham NG1 4FQ, UK.

作者： M D Irteeja,Kobir ^[1] ; Pedro,Machado ^[1] ; Ahmad,Lotfi ^[1] ; Daniyal,Haider ^[1] ; Isibor Kennedy,Ihianle ^[1]

作者单位： Department of Computer Science, Nottingham Trent University, 50 Shakespeare St., Nottingham NG1 4FQ, UK. ^[1]

关键词 CNN Channel State Information (CSI)Human Activity Recognition (HAR)data augmentation deep learning multi-user recognition privacy-preserving sensing signal processing time-series analysis transformer

DOI 10.3390/s25133955

PMID 40648212

发布时间 2025-07-16

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

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

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