research-article

Using Smart Eyewear to Sense Electrodermal Activity While Reading

Authors:

Christopher Changmok Kim,

Dingding Zheng,

George Chernyshov,

Kai KunzeAuthors Info & Claims

UbiComp/ISWC '21 Adjunct: Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers

Pages 472 - 475

https://doi.org/10.1145/3460418.3479356

Published: 24 September 2021 Publication History

Abstract

In this paper, we present the use of smart eyewear as reading glasses and as non-intrusive sensing devices that can measure the electrodermal activity (EDA) of readers of fiction in real-time using electrodes on the forehead. EDA has seen extensive use in the past decade in accessing emotional arousal, with research linking human skin sweating to the emotional state of a subject. Traditional ways of measuring EDA involve using the fingers, which has the highest concentration of eccrine sweat glands, but this method proves to be intrusive in non-laboratory environments as most daily activities require the use of one’s hands. In this paper, we discuss the viability of using smart eyewear to measure and visualize a reader’s physiological signals as well as provide some background in EDA research.

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Cited By

Schmitz MSchön DKlagemann HKosch T(2024)3DA: Assessing 3D-Printed Electrodes for Measuring Electrodermal ActivityExtended Abstracts of the CHI Conference on Human Factors in Computing Systems10.1145/3613905.3650938(1-7)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613905.3650938

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cover image ACM Conferences

UbiComp/ISWC '21 Adjunct: Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers

September 2021

711 pages

ISBN:9781450384612

DOI:10.1145/3460418

Copyright © 2021 ACM.

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Published: 24 September 2021

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September 21 - 26, 2021

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Cited By

Schmitz MSchön DKlagemann HKosch T(2024)3DA: Assessing 3D-Printed Electrodes for Measuring Electrodermal ActivityExtended Abstracts of the CHI Conference on Human Factors in Computing Systems10.1145/3613905.3650938(1-7)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613905.3650938

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