Classifying posed and real smiles from observers' peripheral physiology

Md Zakir Hossain; Tom Gedeon

doi:10.1145/3154862.3154893

Classifying posed and real smiles from observers' peripheral physiology

Md Zakir Hossain, Tom Gedeon

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

11 Citations (Scopus)

Abstract

Smiles are important signals in face-To-face communication that provides impressions / feelings to observers. For example, a speaker can be motivated from audience smiles. People can smile from feeling or by acting or posing the smile. We used observers' physiological signals such as PR (Pupillary Response), BVP (Blood Volume Pulse), and GSR (Galvanic Skin Response) to classify smilers' real (elicited) and posed (asked to act) smiles. Twenty smile videos were collected from benchmark datasets and shown to 24 observers while asking them to make choices, and recording their physiological signals. A leave-one-video-out process was used to measure classification accuracies, and was 93.7% accurate for PR features.

Original language	English
Title of host publication	Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth 2017
Publisher	Association for Computing Machinery
Pages	460-463
Number of pages	4
ISBN (Electronic)	9781450363631
DOIs	https://doi.org/10.1145/3154862.3154893
Publication status	Published - 23 May 2017
Event	11th EAI International Conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth 2017 - Barcelona, Spain Duration: 23 May 2017 → 26 May 2017

Publication series

Name	ACM International Conference Proceeding Series

Conference

Conference	11th EAI International Conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth 2017
Country/Territory	Spain
City	Barcelona
Period	23/05/17 → 26/05/17

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10.1145/3154862.3154893

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Hossain, M. Z., & Gedeon, T. (2017). Classifying posed and real smiles from observers' peripheral physiology. In Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth 2017 (pp. 460-463). (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3154862.3154893

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title = "Classifying posed and real smiles from observers' peripheral physiology",

abstract = "Smiles are important signals in face-To-face communication that provides impressions / feelings to observers. For example, a speaker can be motivated from audience smiles. People can smile from feeling or by acting or posing the smile. We used observers' physiological signals such as PR (Pupillary Response), BVP (Blood Volume Pulse), and GSR (Galvanic Skin Response) to classify smilers' real (elicited) and posed (asked to act) smiles. Twenty smile videos were collected from benchmark datasets and shown to 24 observers while asking them to make choices, and recording their physiological signals. A leave-one-video-out process was used to measure classification accuracies, and was 93.7% accurate for PR features.",

keywords = "Affective Computing, Classification, Observers, Physiological Signals, Posed and Real Smiles",

author = "Hossain, {Md Zakir} and Tom Gedeon",

year = "2017",

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doi = "10.1145/3154862.3154893",

language = "English",

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pages = "460--463",

booktitle = "Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth 2017",

note = "11th EAI International Conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth 2017 ; Conference date: 23-05-2017 Through 26-05-2017",

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Hossain, MZ & Gedeon, T 2017, Classifying posed and real smiles from observers' peripheral physiology. in Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth 2017. ACM International Conference Proceeding Series, Association for Computing Machinery, pp. 460-463, 11th EAI International Conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth 2017, Barcelona, Spain, 23/05/17. https://doi.org/10.1145/3154862.3154893

Classifying posed and real smiles from observers' peripheral physiology. / Hossain, Md Zakir; Gedeon, Tom.
Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth 2017. Association for Computing Machinery, 2017. p. 460-463 (ACM International Conference Proceeding Series).

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

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AU - Gedeon, Tom

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N2 - Smiles are important signals in face-To-face communication that provides impressions / feelings to observers. For example, a speaker can be motivated from audience smiles. People can smile from feeling or by acting or posing the smile. We used observers' physiological signals such as PR (Pupillary Response), BVP (Blood Volume Pulse), and GSR (Galvanic Skin Response) to classify smilers' real (elicited) and posed (asked to act) smiles. Twenty smile videos were collected from benchmark datasets and shown to 24 observers while asking them to make choices, and recording their physiological signals. A leave-one-video-out process was used to measure classification accuracies, and was 93.7% accurate for PR features.

AB - Smiles are important signals in face-To-face communication that provides impressions / feelings to observers. For example, a speaker can be motivated from audience smiles. People can smile from feeling or by acting or posing the smile. We used observers' physiological signals such as PR (Pupillary Response), BVP (Blood Volume Pulse), and GSR (Galvanic Skin Response) to classify smilers' real (elicited) and posed (asked to act) smiles. Twenty smile videos were collected from benchmark datasets and shown to 24 observers while asking them to make choices, and recording their physiological signals. A leave-one-video-out process was used to measure classification accuracies, and was 93.7% accurate for PR features.

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KW - Observers

KW - Physiological Signals

KW - Posed and Real Smiles

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Y2 - 23 May 2017 through 26 May 2017

ER -

Classifying posed and real smiles from observers' peripheral physiology

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