Features of developing and implementing a software and hardware complex for biometric identification based on Wi-Fi CSI

V.D. Dementiev; N.A. Borsuk; A.V. Maximov

doi:10.18127/j19998465-202506-05

Features of developing and implementing a software and hardware complex for biometric identification based on Wi-Fi CSI

V.D. Dementiev¹, N.A. Borsuk², A.V. Maximov³

review article UDC 004.457 Pages: 48-52 doi.org/10.18127/j19998465-202506-05

^1,2,3 Kaluga Branch of Bauman Moscow State Technical University (Kaluga, Russia)

Keywords: Biometric identification Channel State Information ESP32 microcontrollers contactless technologies WebSocket hard-ware-software complex real-time system

Abstract

The practical implementation of a contactless biometric identification system based on Wi-Fi Channel State Information analysis is considered. The architecture of a hardware-software complex is presented, including ESP32-based CSI data collection modules, server processing infrastructure, and real-time visualization system. It is shown that the developed system provides stable data collection at 10 packets per second and registers signal amplitude variations across 56 subcarriers. It is concluded that the proposed solution creates a technical foundation for developing access control systems with enhanced hygiene and can be applied for monitoring human presence in premises without video surveillance cameras.

Received: 13.10.2025
Approved after review: 23.10.2025
Accepted: 10.11.2025

How to cite

Борсук Н.А., Максимов А.В., Дементьев В.Д. Особенности разработки и реализации программно-аппаратного комплекса для биометрической идентификации на основе Wi-Fi CSI // Наукоемкие технологии. 2025. Т. 26. № 6. С. 48−52. DOI: https:// doi.org/10.18127/ j19998465-202506-05

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[1] Sistemy Wi-Fi Sensing: kak opredelit' prisutstvie i aktivnost' lyudej cherez analiz radiosignalov [Elektronnyj resurs]. VAS Experts. URL: https://habr.com/ru/companies/vasexperts/articles/946574/ (in Russian).

[2] Yanagimoto H., Tokioka W., Hashimoto K. Human Detection with WiFi CSI. Department of Applied Mathematics and Statistics, Institute of Technology of Cambodia, 2024. URL: https://www.researchgate.net/publication/385393909_Human_Detection_with_WiFi_CSI.

[3] Kotaru M., Joshi K., Bharadia D., Katti S. SpotFi: Decimeter Level Localization Using WiFi. Proceedings of ACM SIGCOMM. 2015.
P. 269–282. URL: https://dl.acm.org/doi/10.1145/2785956.2787487.

[4] Ma Y., Zhou G., Wang S. WiFi Sensing with Channel State Information: A Survey. ACM Computing Surveys. 2019. V. 52. № 3. Article № 46. URL: https://dl.acm.org/doi/10.1145/3310194.

[5] Gladkih A.A., Garaev A.V., Chernyshov D.D., Potockij D.E., Selivanov K.V. Primenenie iskusstvennogo intellekta v ustrojstvah «umnogo doma» // Nejrokomp'yutery: razrabotka, primenenie. 2024. T. 26. № 5. S. 30–40. DOI: https://doi.org/10.18127/ j19998554-202405-03.

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