Bulletin of Electrical Engineering and Informatics
Vol 12, No 5: October 2023

Real-time stress detection and monitoring system using IoT-based physiological signals

Atika Hendryani (Universitas Indonesia)
Dadang Gunawan (Universitas Indonesia)
Mia Rizkinia (Universitas Indonesia)
Rinda Nur Hidayati (Politeknik Kesehatan Kemenkes Jakarta II)
Frisa Yugi Hermawan (Politeknik Kesehatan Kemenkes Jakarta II)



Article Info

Publish Date
01 Oct 2023

Abstract

Currently, medical experts use psychophysiological questionnaires to evaluate human stress levels during counseling or interviews. Typically, biochemical samples use urine, saliva, and blood samples to identify the effects of stress on the human body. This research explains that stress detection can be done by analyzing psychological signals and the importance of monitoring stress levels. The authors develop research on stress detection based on psychological signals. The system then processes the recorded data; the android application displays the calculation results. The database can also be accessed as a spreadsheet via a web application. The design of real-time stress detection and monitoring using internet of things (IoT) can work well.

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Journal Info

Abbrev

EEI

Publisher

Subject

Electrical & Electronics Engineering

Description

Bulletin of Electrical Engineering and Informatics (Buletin Teknik Elektro dan Informatika) ISSN: 2089-3191, e-ISSN: 2302-9285 is open to submission from scholars and experts in the wide areas of electrical, electronics, instrumentation, control, telecommunication and computer engineering from the ...