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https://bura.brunel.ac.uk/handle/2438/34169| Title: | A transformer-based framework for device-free human activity recognition using Wi-Fi CSI |
| Authors: | Costa Nascimento dos Santos, Allan Soares, Pamella Galdino, Iandra Ramos, Taiane C Albuquerque, Célio Guerra, Raphael Fernandes, Natalia C Muchaluat-Saade, Débora C Ghinea, Gheorghita |
| Keywords: | transformer model;channel state information;Wi-Fi;wireless sensing system;healthcare;human activity recognition |
| Issue Date: | 15-Aug-2026 |
| Publisher: | Springer Nature |
| Citation: | Costa Nascimento dos Santos, A. et al. (2026) 'A transformer-based framework for device-free human activity recognition using Wi-Fi CSI', Annals of Telecommunications, 0(ahead of print), pp. 1–28. doi: 10.1007/s12243-026-01207-3. |
| Abstract: | Human activity recognition (HAR) plays a pivotal role in ambient assisted living, particularly for monitoring the elderly and patients with chronic conditions. However, traditional approaches relying on wearable sensors or video cameras face significant challenges regarding user compliance and privacy intrusion. To mitigate these issues, this paper proposes a device-free sensing (DFS) ( https://github.com/mestrelan/MDA-CSI ) framework utilizing Wi-Fi channel state information (CSI), named named DFS-CSI. We introduce a robust Transformer-based architecture designed to capture long-range temporal dependencies in wireless signals. DFS-CSI was validated using a comprehensive dataset from 86 volunteers, ensuring high generalization capabilities across diverse human motion patterns. |
| Description: | Data availability:
The raw CSI data and the statistical social data from the dataset are available for research purposes and can be shared upon request. Code availability: The Python code used for DFS-CSI is available at https://github.com/mestrelan/MDA-CSI . |
| URI: | https://bura.brunel.ac.uk/handle/2438/34169 |
| DOI: | https://doi.org/10.1007/s12243-026-01207-3 |
| ISSN: | 0003-4347 |
| Appears in Collections: | Department of Computer Science Research Papers |
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