Ubiquitous Emotion Recognition with Multimodal Mobile Interfaces

Shaun J. Canavan; Marvin  Andujar; Lijun Yin; Anton Nijholt; Elizabeth Schotter

doi:10.1145/3267305.3274139

Ubiquitous Emotion Recognition with Multimodal Mobile Interfaces

Shaun J. Canavan
, Marvin Andujar
, Lijun Yin
, Anton Nijholt
, Elizabeth Schotter

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

3 Citations (Scopus)

18 Downloads (Pure)

Abstract

In 1997 Rosalind Picard introduced fundamental concepts of affect recognition. Since this time, multimodal interfaces such as Brain-computer interfaces (BCIs), RGB and depth cameras, physiological wearables, multimodal facial data and physiological data have been used to study human emotion. Much of the work in this field focuses on a single modality to recognize emotion. However, there is a wealth of information that is available for recognizing emotions when incorporating multimodal data. Considering this, the aim of this workshop is to look at current and future research activities and trends for ubiquitous emotion recognition through the fusion of data from various multimodal, mobile devices.

Original language	English
Title of host publication	UbiComp/ISWC 2018 - Adjunct Proceedings of the 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2018 ACM International Symposium on Wearable Computers
Place of Publication	New York
Publisher	Association for Computing Machinery
Pages	937-941
Number of pages	5
ISBN (Electronic)	978-1-4503-5966-5
DOIs	https://doi.org/10.1145/3267305.3274139
Publication status	Published - 8 Oct 2018
Event	2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers - Singapore, Singapore Duration: 8 Oct 2018 → 12 Oct 2018 http://ubicomp.org/ubicomp2018/

Conference

Conference	2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers
Abbreviated title	Ubicomp 2018
Country/Territory	Singapore
City	Singapore
Period	8/10/18 → 12/10/18
Internet address	http://ubicomp.org/ubicomp2018/

Access to Document

10.1145/3267305.3274139

Cite this

Canavan, S. J., Andujar, M., Yin, L., Nijholt, A., & Schotter, E. (2018). Ubiquitous Emotion Recognition with Multimodal Mobile Interfaces. In UbiComp/ISWC 2018 - Adjunct Proceedings of the 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2018 ACM International Symposium on Wearable Computers (pp. 937-941). Association for Computing Machinery. https://doi.org/10.1145/3267305.3274139

Canavan, Shaun J. ; Andujar, Marvin ; Yin, Lijun et al. / Ubiquitous Emotion Recognition with Multimodal Mobile Interfaces. UbiComp/ISWC 2018 - Adjunct Proceedings of the 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2018 ACM International Symposium on Wearable Computers. New York : Association for Computing Machinery, 2018. pp. 937-941

@inproceedings{a08c96d6abb44e66bc5949b9e6ae29d0,

title = "Ubiquitous Emotion Recognition with Multimodal Mobile Interfaces",

abstract = "In 1997 Rosalind Picard introduced fundamental concepts of affect recognition. Since this time, multimodal interfaces such as Brain-computer interfaces (BCIs), RGB and depth cameras, physiological wearables, multimodal facial data and physiological data have been used to study human emotion. Much of the work in this field focuses on a single modality to recognize emotion. However, there is a wealth of information that is available for recognizing emotions when incorporating multimodal data. Considering this, the aim of this workshop is to look at current and future research activities and trends for ubiquitous emotion recognition through the fusion of data from various multimodal, mobile devices.",

author = "Canavan, \{Shaun J.\} and Marvin Andujar and Lijun Yin and Anton Nijholt and Elizabeth Schotter",

year = "2018",

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doi = "10.1145/3267305.3274139",

language = "English",

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booktitle = "UbiComp/ISWC 2018 - Adjunct Proceedings of the 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2018 ACM International Symposium on Wearable Computers",

publisher = "Association for Computing Machinery",

address = "United States",

note = "2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, Ubicomp 2018 ; Conference date: 08-10-2018 Through 12-10-2018",

url = "http://ubicomp.org/ubicomp2018/",

}

Canavan, SJ, Andujar, M, Yin, L, Nijholt, A & Schotter, E 2018, Ubiquitous Emotion Recognition with Multimodal Mobile Interfaces. in UbiComp/ISWC 2018 - Adjunct Proceedings of the 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2018 ACM International Symposium on Wearable Computers. Association for Computing Machinery, New York, pp. 937-941, 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, Singapore, Singapore, 8/10/18. https://doi.org/10.1145/3267305.3274139

Ubiquitous Emotion Recognition with Multimodal Mobile Interfaces. / Canavan, Shaun J.; Andujar, Marvin ; Yin, Lijun et al.
UbiComp/ISWC 2018 - Adjunct Proceedings of the 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2018 ACM International Symposium on Wearable Computers. New York: Association for Computing Machinery, 2018. p. 937-941.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Ubiquitous Emotion Recognition with Multimodal Mobile Interfaces

AU - Canavan, Shaun J.

AU - Andujar, Marvin

AU - Yin, Lijun

AU - Nijholt, Anton

AU - Schotter, Elizabeth

PY - 2018/10/8

Y1 - 2018/10/8

N2 - In 1997 Rosalind Picard introduced fundamental concepts of affect recognition. Since this time, multimodal interfaces such as Brain-computer interfaces (BCIs), RGB and depth cameras, physiological wearables, multimodal facial data and physiological data have been used to study human emotion. Much of the work in this field focuses on a single modality to recognize emotion. However, there is a wealth of information that is available for recognizing emotions when incorporating multimodal data. Considering this, the aim of this workshop is to look at current and future research activities and trends for ubiquitous emotion recognition through the fusion of data from various multimodal, mobile devices.

AB - In 1997 Rosalind Picard introduced fundamental concepts of affect recognition. Since this time, multimodal interfaces such as Brain-computer interfaces (BCIs), RGB and depth cameras, physiological wearables, multimodal facial data and physiological data have been used to study human emotion. Much of the work in this field focuses on a single modality to recognize emotion. However, there is a wealth of information that is available for recognizing emotions when incorporating multimodal data. Considering this, the aim of this workshop is to look at current and future research activities and trends for ubiquitous emotion recognition through the fusion of data from various multimodal, mobile devices.

U2 - 10.1145/3267305.3274139

DO - 10.1145/3267305.3274139

M3 - Conference contribution

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EP - 941

BT - UbiComp/ISWC 2018 - Adjunct Proceedings of the 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2018 ACM International Symposium on Wearable Computers

PB - Association for Computing Machinery

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T2 - 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers

Y2 - 8 October 2018 through 12 October 2018

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Canavan SJ, Andujar M, Yin L, Nijholt A, Schotter E. Ubiquitous Emotion Recognition with Multimodal Mobile Interfaces. In UbiComp/ISWC 2018 - Adjunct Proceedings of the 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2018 ACM International Symposium on Wearable Computers. New York: Association for Computing Machinery. 2018. p. 937-941 doi: 10.1145/3267305.3274139

Ubiquitous Emotion Recognition with Multimodal Mobile Interfaces

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