abstract

Laugh Log: E-textile Bellyband Interface for Laugh Logging

Authors:

Ayaka Shimasaki,

Ryoko UeokaAuthors Info & Claims

CHI EA '17: Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems

Pages 2084 - 2089

https://doi.org/10.1145/3027063.3053104

Published: 06 May 2017 Publication History

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Abstract

In this study, we propose Laugh Log, an e-textile bellyband interface for laugh detection. Laugh Log measures pressure on the abdomen and detects laughter based on pressure changes. In this paper, we developed a corset type Laugh Log prototype system that measures abdominal pressure unobtrusively. We conducted a pilot experiment to investigate whether our proposed system could detect laughter based on pressure changes. During the experiment, subjects viewed some funny movies while wearing Laugh Log. We analyzed logged data and observed features of pressure change when subjects laughed. Although further experiments are required, the results suggest that it is possible to detect laughter using Laugh Log.

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References

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Cited By

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Liu ZCourant RKalogeiton V(2024)FunnyNet-W: Multimodal Learning of Funny Moments in Videos in the WildInternational Journal of Computer Vision10.1007/s11263-024-02000-2132:8(2885-2906)Online publication date: 23-Feb-2024
https://doi.org/10.1007/s11263-024-02000-2
Masai KPerusquia-Hernandez MSugimoto MKumano SKimura T(2022)Consistent Smile Intensity Estimation from Wearable Optical Sensors2022 10th International Conference on Affective Computing and Intelligent Interaction (ACII)10.1109/ACII55700.2022.9953867(1-8)Online publication date: 18-Oct-2022
https://doi.org/10.1109/ACII55700.2022.9953867
Liu ZCourant RKalogeiton V(2022)FunnyNet: Audiovisual Learning of Funny Moments in VideosComputer Vision – ACCV 202210.1007/978-3-031-26316-3_26(433-450)Online publication date: 4-Dec-2022
https://dl.acm.org/doi/10.1007/978-3-031-26316-3_26
Show More Cited By

Index Terms

Laugh Log: E-textile Bellyband Interface for Laugh Logging
1. Human-centered computing
  1. Human computer interaction (HCI)

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Published In

CHI EA '17: Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems

May 2017

3954 pages

ISBN:9781450346566

DOI:10.1145/3027063

General Chairs:
Gloria Mark
University of California Irvine
,
Susan Fussell
Cornell University
,
Program Chairs:
Cliff Lampe
University of Michigan
,
m.c. schraefel
University of Southampton
,
Juan Pablo Hourcade
University of Iowa
,
Caroline Appert
Université Paris-Sud
,
Daniel Wigdor
University of Toronto

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 06 May 2017

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JSPS KAKENHI

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CHI '17

Sponsor:

SIGCHI

CHI '17: CHI Conference on Human Factors in Computing Systems

May 6 - 11, 2017

Colorado, Denver, USA

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CHI EA '17 Paper Acceptance Rate 1,000 of 5,000 submissions, 20%;

Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

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CHI 2025

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ACM CHI Conference on Human Factors in Computing Systems

April 26 - May 1, 2025

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Cited By

View all

Liu ZCourant RKalogeiton V(2024)FunnyNet-W: Multimodal Learning of Funny Moments in Videos in the WildInternational Journal of Computer Vision10.1007/s11263-024-02000-2132:8(2885-2906)Online publication date: 23-Feb-2024
https://doi.org/10.1007/s11263-024-02000-2
Masai KPerusquia-Hernandez MSugimoto MKumano SKimura T(2022)Consistent Smile Intensity Estimation from Wearable Optical Sensors2022 10th International Conference on Affective Computing and Intelligent Interaction (ACII)10.1109/ACII55700.2022.9953867(1-8)Online publication date: 18-Oct-2022
https://doi.org/10.1109/ACII55700.2022.9953867
Liu ZCourant RKalogeiton V(2022)FunnyNet: Audiovisual Learning of Funny Moments in VideosComputer Vision – ACCV 202210.1007/978-3-031-26316-3_26(433-450)Online publication date: 4-Dec-2022
https://dl.acm.org/doi/10.1007/978-3-031-26316-3_26
Ueoka R(2019)Laugh Log: E-Textile Bellyband Interface for Laugh Detection and LoggingHuman Interface and the Management of Information. Information in Intelligent Systems10.1007/978-3-030-22649-7_34(426-439)Online publication date: 26-Jul-2019
https://dl.acm.org/doi/10.1007/978-3-030-22649-7_34
Ryokai KDurán López EHowell NGillick JBamman DMandryk RHancock MPerry MCox A(2018)Capturing, Representing, and Interacting with LaughterProceedings of the 2018 CHI Conference on Human Factors in Computing Systems10.1145/3173574.3173932(1-12)Online publication date: 21-Apr-2018
https://dl.acm.org/doi/10.1145/3173574.3173932
Barral OKosunen IJacucci G(2017)No Need to Laugh Out LoudACM Transactions on Computer-Human Interaction10.1145/315773024:6(1-29)Online publication date: 19-Dec-2017
https://dl.acm.org/doi/10.1145/3157730

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Laugh Log: E-Textile Bellyband Interface for Laugh Detection and Logging

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