Touchless Biometric User Authentication Using ESP32 WiFi Module

Rikesh Makwana*, Talal Shaikh

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Due to the ubiquitous nature of WiFi, the use of WiFi signals for Biometric User Authentication (BUA) is ongoing research which has previously focused on using multi-antenna commercial off-the-shelf (COTS) devices such as Intel 5300 or Atheros 9390. However, due to high cost and limited availability, COTS devices are restricted to small scale deployment. To overcome this issue, researchers propose using Espressif ESP32, an inexpensive single antenna microcontroller equipped with WiFi and Bluetooth modules capable of capturing detailed WiFi Channel State Information (CSI). This paper explores and extends the application of ESP32 by proposing a model for device-less and touch-less BUA systems using a simple client–server architecture. The system identifies users as they perform day-to-day activities by recognizing behavioural and physiological characteristics using LSTM—a deep learning approach. Furthermore, the paper describes the Python tool developed for parsing and filtering WiFi CSI data.

Original languageEnglish
Title of host publicationProceedings of International Conference on Information Technology and Applications.
EditorsAbrar Ullah, Steve Gill, Álvaro Rocha, Sajid Anwar
Number of pages11
ISBN (Electronic)9789811676185
ISBN (Print)9789811676178
Publication statusPublished - 21 Apr 2022
Event15th International Conference on Information Technology and Applications 2021 - Dubai, United Arab Emirates
Duration: 13 Nov 202114 Nov 2021

Publication series

NameLecture Notes in Networks and Systems
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389


Conference15th International Conference on Information Technology and Applications 2021
Abbreviated titleICITA 2021
Country/TerritoryUnited Arab Emirates


  • Biometric user authentication
  • Channel state information
  • ESP32 microcontroller
  • Ubiquitous computing

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Signal Processing
  • Computer Networks and Communications


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