Wearable Devices for Emotion Visualization: State of the Art, Benefits, and Challenges

Mengyao Guo; Xiaolin Zhang; Zhenzhen Niu; Ze Gao

doi:10.1145/3632776.3632794

Wearable Devices for Emotion Visualization: State of the Art, Benefits, and Challenges

Mengyao Guo, Xiaolin Zhang, Zhenzhen Niu, Ze Gao^*

^*Corresponding author for this work

Research output: Chapter in Book/Conference Proceeding/Report › Conference Paper published in a book › peer-review

Abstract

This paper investigates the emerging field of wearable devices, "E-Visual", designed for emotion visualization. These wearable devices, such as fitness trackers, smartwatches, and biometric sensors, can potentially provide valuable information about a person's emotional state. These devices analyze physiological signals such as heart rate, skin conductance, and facial expressions to detect and track emotional arousal and valence changes. The article reviews the current state of the art in wearable emotion visualization technology, including the types of sensors and algorithms used and the potential benefits and applications of this technology. This paper also explores the challenges and limitations of using wearables for emotion visualization, such as the need for reliable sensing and privacy concerns. The article argues that wearable devices for emotion visualization could revolutionize our understanding and handling of our emotions, enhancing mental health and overall well-being.

Original language	English
Title of host publication	Proceedings of the 11th International Conference on Digital and Interactive Arts, ARTECH 2023
Subtitle of host publication	Digital Creation Processes
Editors	Lucas Fabian Olivero, Lucas Fabian Olivero, Pedro Alves da Veiga, Antonio Bandeira Araujo, Patricia Dourado, Bruno Mendes da Silva
Publisher	Association for Computing Machinery
ISBN (Electronic)	9798400708725
DOIs	https://doi.org/10.1145/3632776.3632794
Publication status	Published - 28 Nov 2023
Externally published	Yes
Event	11th International Conference on Digital and Interactive Arts, ARTECH 2023 - Faro, Portugal Duration: 28 Nov 2023 → 30 Nov 2023

Publication series

Name	ACM International Conference Proceeding Series

Conference

Conference	11th International Conference on Digital and Interactive Arts, ARTECH 2023
Country/Territory	Portugal
City	Faro
Period	28/11/23 → 30/11/23

Bibliographical note

Publisher Copyright:
© 2023 ACM.

Keywords

Biometric sensors
Emotion visualization
Physiological signals
Wearable devices

Access to Document

10.1145/3632776.3632794

Cite this

Guo, M., Zhang, X., Niu, Z., & Gao, Z. (2023). Wearable Devices for Emotion Visualization: State of the Art, Benefits, and Challenges. In L. F. Olivero, L. F. Olivero, P. A. da Veiga, A. B. Araujo, P. Dourado, & B. M. da Silva (Eds.), Proceedings of the 11th International Conference on Digital and Interactive Arts, ARTECH 2023: Digital Creation Processes Article 30 (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3632776.3632794

Guo, Mengyao ; Zhang, Xiaolin ; Niu, Zhenzhen et al. / Wearable Devices for Emotion Visualization : State of the Art, Benefits, and Challenges. Proceedings of the 11th International Conference on Digital and Interactive Arts, ARTECH 2023: Digital Creation Processes. editor / Lucas Fabian Olivero ; Lucas Fabian Olivero ; Pedro Alves da Veiga ; Antonio Bandeira Araujo ; Patricia Dourado ; Bruno Mendes da Silva. Association for Computing Machinery, 2023. (ACM International Conference Proceeding Series).

@inproceedings{1e0059d0c3af4b0da18e2ed1076df357,

title = "Wearable Devices for Emotion Visualization: State of the Art, Benefits, and Challenges",

abstract = "This paper investigates the emerging field of wearable devices, {"}E-Visual{"}, designed for emotion visualization. These wearable devices, such as fitness trackers, smartwatches, and biometric sensors, can potentially provide valuable information about a person's emotional state. These devices analyze physiological signals such as heart rate, skin conductance, and facial expressions to detect and track emotional arousal and valence changes. The article reviews the current state of the art in wearable emotion visualization technology, including the types of sensors and algorithms used and the potential benefits and applications of this technology. This paper also explores the challenges and limitations of using wearables for emotion visualization, such as the need for reliable sensing and privacy concerns. The article argues that wearable devices for emotion visualization could revolutionize our understanding and handling of our emotions, enhancing mental health and overall well-being.",

keywords = "Biometric sensors, Emotion visualization, Physiological signals, Wearable devices",

author = "Mengyao Guo and Xiaolin Zhang and Zhenzhen Niu and Ze Gao",

note = "Publisher Copyright: {\textcopyright} 2023 ACM.; 11th International Conference on Digital and Interactive Arts, ARTECH 2023 ; Conference date: 28-11-2023 Through 30-11-2023",

year = "2023",

month = nov,

day = "28",

doi = "10.1145/3632776.3632794",

language = "English",

series = "ACM International Conference Proceeding Series",

publisher = "Association for Computing Machinery",

editor = "Olivero, \{Lucas Fabian\} and Olivero, \{Lucas Fabian\} and \{da Veiga\}, \{Pedro Alves\} and Araujo, \{Antonio Bandeira\} and Patricia Dourado and \{da Silva\}, \{Bruno Mendes\}",

booktitle = "Proceedings of the 11th International Conference on Digital and Interactive Arts, ARTECH 2023",

}

Guo, M, Zhang, X, Niu, Z & Gao, Z 2023, Wearable Devices for Emotion Visualization: State of the Art, Benefits, and Challenges. in LF Olivero, LF Olivero, PA da Veiga, AB Araujo, P Dourado & BM da Silva (eds), Proceedings of the 11th International Conference on Digital and Interactive Arts, ARTECH 2023: Digital Creation Processes., 30, ACM International Conference Proceeding Series, Association for Computing Machinery, 11th International Conference on Digital and Interactive Arts, ARTECH 2023, Faro, Portugal, 28/11/23. https://doi.org/10.1145/3632776.3632794

Wearable Devices for Emotion Visualization: State of the Art, Benefits, and Challenges. / Guo, Mengyao; Zhang, Xiaolin; Niu, Zhenzhen et al.
Proceedings of the 11th International Conference on Digital and Interactive Arts, ARTECH 2023: Digital Creation Processes. ed. / Lucas Fabian Olivero; Lucas Fabian Olivero; Pedro Alves da Veiga; Antonio Bandeira Araujo; Patricia Dourado; Bruno Mendes da Silva. Association for Computing Machinery, 2023. 30 (ACM International Conference Proceeding Series).

Research output: Chapter in Book/Conference Proceeding/Report › Conference Paper published in a book › peer-review

TY - GEN

T1 - Wearable Devices for Emotion Visualization

T2 - 11th International Conference on Digital and Interactive Arts, ARTECH 2023

AU - Guo, Mengyao

AU - Zhang, Xiaolin

AU - Niu, Zhenzhen

AU - Gao, Ze

PY - 2023/11/28

Y1 - 2023/11/28

N2 - This paper investigates the emerging field of wearable devices, "E-Visual", designed for emotion visualization. These wearable devices, such as fitness trackers, smartwatches, and biometric sensors, can potentially provide valuable information about a person's emotional state. These devices analyze physiological signals such as heart rate, skin conductance, and facial expressions to detect and track emotional arousal and valence changes. The article reviews the current state of the art in wearable emotion visualization technology, including the types of sensors and algorithms used and the potential benefits and applications of this technology. This paper also explores the challenges and limitations of using wearables for emotion visualization, such as the need for reliable sensing and privacy concerns. The article argues that wearable devices for emotion visualization could revolutionize our understanding and handling of our emotions, enhancing mental health and overall well-being.

AB - This paper investigates the emerging field of wearable devices, "E-Visual", designed for emotion visualization. These wearable devices, such as fitness trackers, smartwatches, and biometric sensors, can potentially provide valuable information about a person's emotional state. These devices analyze physiological signals such as heart rate, skin conductance, and facial expressions to detect and track emotional arousal and valence changes. The article reviews the current state of the art in wearable emotion visualization technology, including the types of sensors and algorithms used and the potential benefits and applications of this technology. This paper also explores the challenges and limitations of using wearables for emotion visualization, such as the need for reliable sensing and privacy concerns. The article argues that wearable devices for emotion visualization could revolutionize our understanding and handling of our emotions, enhancing mental health and overall well-being.

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KW - Emotion visualization

KW - Physiological signals

KW - Wearable devices

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U2 - 10.1145/3632776.3632794

DO - 10.1145/3632776.3632794

M3 - Conference Paper published in a book

AN - SCOPUS:85190801008

T3 - ACM International Conference Proceeding Series

BT - Proceedings of the 11th International Conference on Digital and Interactive Arts, ARTECH 2023

A2 - Olivero, Lucas Fabian

A2 - da Veiga, Pedro Alves

A2 - Araujo, Antonio Bandeira

A2 - Dourado, Patricia

A2 - da Silva, Bruno Mendes

PB - Association for Computing Machinery

Y2 - 28 November 2023 through 30 November 2023

ER -

Guo M, Zhang X, Niu Z, Gao Z. Wearable Devices for Emotion Visualization: State of the Art, Benefits, and Challenges. In Olivero LF, Olivero LF, da Veiga PA, Araujo AB, Dourado P, da Silva BM, editors, Proceedings of the 11th International Conference on Digital and Interactive Arts, ARTECH 2023: Digital Creation Processes. Association for Computing Machinery. 2023. 30. (ACM International Conference Proceeding Series). doi: 10.1145/3632776.3632794

Wearable Devices for Emotion Visualization: State of the Art, Benefits, and Challenges

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

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