Designing a Testbed for Human Activity Recognition Using Multiple ESP32 Microcontrollers with Wi-Fi and Serial Data Transfer

Significant advancements have been made in leveraging Wi-Fi signals for Human Activity Recognition (HAR). Most notably with the utilization of Channel State Information (CSI). Nevertheless, the current landscape lacks a straightforward approach to conduct HAR experiments involving multiple ESP32 microcontrollers. This research paper presents a notable contribution by introducing a well-designed testbed for HAR, employing multiple ESP32 microcontrollers. The study demonstrates the feasibility of transmitting CSI data over Wi-Fi without detrimental consequences, thus offering enhanced convenience and scalability compared to conventional serial cable connections.