Monitorování biologických signálů eSport hráčů

Abstract

This diploma thesis focuses on the measurement of biological signals in eSports players during gameplay using a non-contact radar method operating in the millimeter-wave band (60–64 GHz). The measuring system was based on the Texas Instruments IWR6843AOP radar and the manufacturer’s firmware, Vital Signs with People Tracking Demo. The aim of the thesis was to design and implement a measuring system enabling communication between the radar and a data-processing device represented by a Raspberry Pi minicomputer, and to conduct an experiment verifying the functionality of the system in a gaming environment. During the experiment, the measured data were visualized and uploaded to cloud storage. The acquired data were subsequently compared with data recorded simultaneously by a certified medical reference device. The results showed that the accuracy of biological signal measurement strongly depends on the measurement conditions, particularly on the intensity of the player’s movement and their position relative to the radar.