Dayananda, B.N.Vandana, G.S.Srihari, P.Pardhasaradhi, B.2026-02-062022Proceedings - 2022 IEEE International Symposium on Smart Electronic Systems, iSES 2022, 2022, Vol., , p. 191-195https://doi.org/10.1109/iSES54909.2022.00047https://idr.nitk.ac.in/handle/123456789/29802The remote access to vital sign measurements like pulse rate (PR) and breathing rate (BR) of a patient to doctors and family members makes it much more helpful in patient risk analysis. Texas Instruments AWR1642 frequency modulated continuous wave (FMCW) radar operates at 77-81 GHz frequency with 4 GHz sweep bandwidth for linear frequency modulated (LFM) waveform. In the literature, AWR1642 is used to determine a person's PR and BR in an offline mode. In this paper, the AWR1642 radar module is integrated with Raspberry Pi 4 Model B (Pi4B), and a network connection is established using SIM7600G-H 4G HAT and accessed through TeamViewer software. For this experiment, we have considered ten males and ten females in the age group of 19-52 years and 18-29 years, respectively. The male and female attendees' average PR is 84.84bpm and 79.9965bpm, respectively. The male and female attendees' average BR is 18.408bpm and 16.526bpm, respectively. Ground truth data is gathered from a fingertip pulse oximeter(PO) to verify our readings of PR and BR. The overall absolute mean error (AME) of PR and BR compared to the PO data is 0.6430 % and 4.2595% for the 20 volunteers who participated in the experiment. © 2022 IEEE.77GHzAWR1642 FMCW radar moduleRaspberry Pi 4 Model B (Pi4B)SIM7600G-H 4G HATVital Sign measurement