Emotion and fatigue monitoring using wearable devices

Jong Seok Lee; You Suk Bae; Wongok Lee; Hyunsuk Lee; Jinkeun Yu; Jong Pil Choi

doi:10.1007/978-981-13-0311-1_17

Emotion and fatigue monitoring using wearable devices

Jong Seok Lee, You Suk Bae, Wongok Lee, Hyunsuk Lee, Jinkeun Yu, Jong Pil Choi

School of Integrated Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Citations (Scopus)

Abstract

This paper presents our prototype wearable system for monitoring emotion and fatigue of users. We develop a hardware part that can measure Galvanic skin response and photoplethysmography at a sampling rate of 100 Hz. In addition, we build a classification module that can distinguish the type of emotion and the level of fatigue of the user based on the measured signals. It is demonstrated that the developed system can successfully be used for emotion and fatigue monitoring.

Original language	English
Title of host publication	Proceedings of the 6th International Conference on Green and Human Information Technology - ICGHIT 2018
Editors	Franklin Bien, Syh Yuan Tan, Seong Oun Hwang
Publisher	Springer Verlag
Pages	91-96
Number of pages	6
ISBN (Print)	9789811303104
DOIs	https://doi.org/10.1007/978-981-13-0311-1_17
Publication status	Published - 2019
Event	6th International Conference on Green and Human Information Technology, ICGHIT 2018 - Chiang Mai, Thailand Duration: 2018 Jan 31 → 2018 Feb 2

Publication series

Name	Lecture Notes in Electrical Engineering
Volume	502
ISSN (Print)	1876-1100
ISSN (Electronic)	1876-1119

Conference

Conference	6th International Conference on Green and Human Information Technology, ICGHIT 2018
Country/Territory	Thailand
City	Chiang Mai
Period	18/1/31 → 18/2/2

Bibliographical note

Publisher Copyright:
© 2019, Springer Nature Singapore Pte Ltd.

All Science Journal Classification (ASJC) codes

Industrial and Manufacturing Engineering

Access to Document

10.1007/978-981-13-0311-1_17

Cite this

Lee, J. S., Bae, Y. S., Lee, W., Lee, H., Yu, J., & Choi, J. P. (2019). Emotion and fatigue monitoring using wearable devices. In F. Bien, S. Y. Tan, & S. O. Hwang (Eds.), Proceedings of the 6th International Conference on Green and Human Information Technology - ICGHIT 2018 (pp. 91-96). (Lecture Notes in Electrical Engineering; Vol. 502). Springer Verlag. https://doi.org/10.1007/978-981-13-0311-1_17

@inproceedings{06989579c0bb47fd9ac5e0e715b01283,

title = "Emotion and fatigue monitoring using wearable devices",

abstract = "This paper presents our prototype wearable system for monitoring emotion and fatigue of users. We develop a hardware part that can measure Galvanic skin response and photoplethysmography at a sampling rate of 100 Hz. In addition, we build a classification module that can distinguish the type of emotion and the level of fatigue of the user based on the measured signals. It is demonstrated that the developed system can successfully be used for emotion and fatigue monitoring.",

keywords = "Classification, Galvanic skin response, Neural networks, Photoplethysmography",

author = "Lee, {Jong Seok} and Bae, {You Suk} and Wongok Lee and Hyunsuk Lee and Jinkeun Yu and Choi, {Jong Pil}",

note = "Publisher Copyright: {\textcopyright} 2019, Springer Nature Singapore Pte Ltd.; 6th International Conference on Green and Human Information Technology, ICGHIT 2018 ; Conference date: 31-01-2018 Through 02-02-2018",

year = "2019",

doi = "10.1007/978-981-13-0311-1_17",

language = "English",

isbn = "9789811303104",

series = "Lecture Notes in Electrical Engineering",

publisher = "Springer Verlag",

pages = "91--96",

editor = "Franklin Bien and Tan, {Syh Yuan} and Hwang, {Seong Oun}",

booktitle = "Proceedings of the 6th International Conference on Green and Human Information Technology - ICGHIT 2018",

address = "Germany",

}

Lee, JS, Bae, YS, Lee, W, Lee, H, Yu, J & Choi, JP 2019, Emotion and fatigue monitoring using wearable devices. in F Bien, SY Tan & SO Hwang (eds), Proceedings of the 6th International Conference on Green and Human Information Technology - ICGHIT 2018. Lecture Notes in Electrical Engineering, vol. 502, Springer Verlag, pp. 91-96, 6th International Conference on Green and Human Information Technology, ICGHIT 2018, Chiang Mai, Thailand, 18/1/31. https://doi.org/10.1007/978-981-13-0311-1_17

Emotion and fatigue monitoring using wearable devices. / Lee, Jong Seok; Bae, You Suk; Lee, Wongok et al.
Proceedings of the 6th International Conference on Green and Human Information Technology - ICGHIT 2018. ed. / Franklin Bien; Syh Yuan Tan; Seong Oun Hwang. Springer Verlag, 2019. p. 91-96 (Lecture Notes in Electrical Engineering; Vol. 502).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Emotion and fatigue monitoring using wearable devices

AU - Lee, Jong Seok

AU - Bae, You Suk

AU - Lee, Wongok

AU - Lee, Hyunsuk

AU - Yu, Jinkeun

AU - Choi, Jong Pil

PY - 2019

Y1 - 2019

N2 - This paper presents our prototype wearable system for monitoring emotion and fatigue of users. We develop a hardware part that can measure Galvanic skin response and photoplethysmography at a sampling rate of 100 Hz. In addition, we build a classification module that can distinguish the type of emotion and the level of fatigue of the user based on the measured signals. It is demonstrated that the developed system can successfully be used for emotion and fatigue monitoring.

AB - This paper presents our prototype wearable system for monitoring emotion and fatigue of users. We develop a hardware part that can measure Galvanic skin response and photoplethysmography at a sampling rate of 100 Hz. In addition, we build a classification module that can distinguish the type of emotion and the level of fatigue of the user based on the measured signals. It is demonstrated that the developed system can successfully be used for emotion and fatigue monitoring.

KW - Classification

KW - Galvanic skin response

KW - Neural networks

KW - Photoplethysmography

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BT - Proceedings of the 6th International Conference on Green and Human Information Technology - ICGHIT 2018

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Y2 - 31 January 2018 through 2 February 2018

ER -

Emotion and fatigue monitoring using wearable devices

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