Document Type

Conference Proceeding

Publication Title

Adjunct Proceedings of the 33rd ACM Conference on User Modeling, Adaptation and Personalization

Publication Date

6-2025

Keywords

human-centered computing, ubiquitious and mobile computing, cognitive stress, EEG devices, smart computing, blood volume pluse (BVP), electrodermal activity (EDA), Granter test, Stroop test

Abstract

Wearable devices are revolutionizing smart computing in healthcare. In particular, electroencephalography (EEG) devices (e. g., electrode cap bundles, headbands) are currently enabling many healthcare applications that require real-time monitoring of brain electrical activity. Examples of those applications include: epilepsy diagnosis, sleep disorder diagnosis, tumor detection, autonomous navigation (e. g., to control wheelchairs), and stress reduction. In many of these applications, the use of clinical-grade EEG devices may not be feasible because of factors such as high cost, privacy concerns, and inconvenience. In this paper, we used the Granger causality test to study whether consumer-grade EEG devices can detect levels of cognitive stress that can reliably be shown to cause changes in vital signs such as blood volume pulse (BVP), electrodermal activity (EDA), and body temperature. Based on the obtained results, we were able to validate the viability of using consumer-grade wearable devices to build applications for stress monitoring and reduction without the need for advanced, expensive EEG devices.

Funding Source

This research was supported by a University Research Grant from the College of Applied Science and Technology of Illinois State University. This proceeding was published Open Access thanks to a transformative agreement between Milner Library and ACM.

Comments

First published in Adjunct Proceedings of the 33rd ACM Conference on User Modeling, Adaptation and Personalization (2025): https://doi.org/10.1145/3708319.3734838

Creative Commons License

Creative Commons Attribution 4.0 International License
This work is licensed under a Creative Commons Attribution 4.0 International License.

DOI

10.1145/3708319.3734838

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