abstract

AffectiveWear: toward recognizing facial expression

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Maki SugimotoAuthors Info & Claims

SIGGRAPH '15: ACM SIGGRAPH 2015 Emerging Technologies

Article No.: 4, Page 1

https://doi.org/10.1145/2782782.2792495

Published: 31 July 2015 Publication History

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Abstract

Facial expression is a powerful way for us to exchange information nonverbally. They can give us insights into how people feel and think. There are a number of works related to facial expression detection in computer vision. However, most works focus on camera-based systems installed in the environment. With this method, it is difficult to track user's face if user moves constantly. Moreover, user's facial expression can be recognized at only a limited place.

Reference

[1]

Fukumoto, K., Terada, T., Tsukamoto, M. A Smile/Laughter Recognition Mechanism for Smile-Based Life Logging. In Proceeding of AH 2013, ACM, pp. 213--220.

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Nakabayashi YNakamura FSugimoto M(2023)Facial Expression Recognition by Photo-Reflective Sensors Considering Time Series and Head Posture2023 28th Asia Pacific Conference on Communications (APCC)10.1109/APCC60132.2023.10460652(358-363)Online publication date: 19-Nov-2023
https://doi.org/10.1109/APCC60132.2023.10460652
Asiain DPonce de León JBeltrán J(2022)MsWH: A Multi-Sensory Hardware Platform for Capturing and Analyzing Physiological Emotional SignalsSensors10.3390/s2215577522:15(5775)Online publication date: 2-Aug-2022
https://doi.org/10.3390/s22155775
Futami KTabuchi YMurao KTerada T(2022)Exploring Gaze Movement Gesture Recognition Method for Eye-Based Interaction Using Eyewear with Infrared Distance Sensor ArrayElectronics10.3390/electronics1110163711:10(1637)Online publication date: 20-May-2022
https://doi.org/10.3390/electronics11101637
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Index Terms

AffectiveWear: toward recognizing facial expression
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Computer vision problems
        Object recognition
  2. Computer graphics

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AffectiveWear: toward recognizing facial expression
SIGGRAPH '15: ACM SIGGRAPH 2015 Posters

Facial expression is a powerful way for us to exchange information nonverbally. They can give us insights into how people feel and think. There are a number of works related to facial expression detection in computer vision. However, most works focus on ...
AffectiveWear: towards recognizing affect in real life
UbiComp/ISWC'15 Adjunct: Adjunct Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers

We present a novel wearable facial recognition system "AffectiveWear". This device can recognize 7 facial expressions (neutral, disgust, angry, smile, laugh, sad, and surprise). It looks like a normal eyewear; you can wear anytime, anywhere. We made 2 ...
Collaborative expression representation using peak expression and intra class variation face images for practical subject-independent emotion recognition in videos

This paper proposes a facial expression recognition (FER) method in videos. The proposed method automatically selects the peak expression face from a video sequence using closeness of the face to the neutral expression. The severely non-frontal faces ...

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Published In

SIGGRAPH '15: ACM SIGGRAPH 2015 Emerging Technologies

July 2015

27 pages

ISBN:9781450336352

DOI:10.1145/2782782

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: 31 July 2015

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SIGGRAPH '15

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SIGGRAPH

SIGGRAPH '15: Special Interest Group on Computer Graphics and Interactive Techniques Conference

August 9 - 13, 2015

California, Los Angeles

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Overall Acceptance Rate 1,822 of 8,601 submissions, 21%

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Nakabayashi YNakamura FSugimoto M(2023)Facial Expression Recognition by Photo-Reflective Sensors Considering Time Series and Head Posture2023 28th Asia Pacific Conference on Communications (APCC)10.1109/APCC60132.2023.10460652(358-363)Online publication date: 19-Nov-2023
https://doi.org/10.1109/APCC60132.2023.10460652
Asiain DPonce de León JBeltrán J(2022)MsWH: A Multi-Sensory Hardware Platform for Capturing and Analyzing Physiological Emotional SignalsSensors10.3390/s2215577522:15(5775)Online publication date: 2-Aug-2022
https://doi.org/10.3390/s22155775
Futami KTabuchi YMurao KTerada T(2022)Exploring Gaze Movement Gesture Recognition Method for Eye-Based Interaction Using Eyewear with Infrared Distance Sensor ArrayElectronics10.3390/electronics1110163711:10(1637)Online publication date: 20-May-2022
https://doi.org/10.3390/electronics11101637
Futami KTabuchi YMurao KTerada T(2021)A Method to Recognize Eyeball Movement Gesture using Infrared Distance Sensor Array on EyewearThe 23rd International Conference on Information Integration and Web Intelligence10.1145/3487664.3487760(645-649)Online publication date: 29-Nov-2021
https://dl.acm.org/doi/10.1145/3487664.3487760
Samadiani NHuang GCai BLuo WChi CXiang YHe J(2019)A Review on Automatic Facial Expression Recognition Systems Assisted by Multimodal Sensor DataSensors10.3390/s1908186319:8(1863)Online publication date: 18-Apr-2019
https://doi.org/10.3390/s19081863
Hashimoto TLow SFujita KUsumi RYanagihara HTakahashi CSugimoto MSugiura Y(2018)TongueInput: Input Method by Tongue Gestures Using Optical Sensors Embedded in Mouthpiece2018 57th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE)10.23919/SICE.2018.8492690(1219-1224)Online publication date: Oct-2018
https://doi.org/10.23919/SICE.2018.8492690
Li RReyes GKunze KBalan RLee YBeigl MPeiris R(2018)BuccalProceedings of the 2018 ACM International Symposium on Wearable Computers10.1145/3267242.3267265(180-183)Online publication date: 8-Oct-2018
https://dl.acm.org/doi/10.1145/3267242.3267265
Masai KKunze KSugiura YOgata MInami MSugimoto M(2017)Evaluation of Facial Expression Recognition by a Smart Eyewear for Facial Direction Changes, Repeatability, and Positional DriftACM Transactions on Interactive Intelligent Systems10.1145/30129417:4(1-23)Online publication date: 13-Dec-2017
https://dl.acm.org/doi/10.1145/3012941
Masai KKunze Ksugimoto MBillinghurst MKaye JDruin ALampe CMorris DHourcade J(2016)Empathy GlassesProceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems10.1145/2851581.2892370(1257-1263)Online publication date: 7-May-2016
https://dl.acm.org/doi/10.1145/2851581.2892370
Lee YMasai KKunze KSugimoto MBillinghurst M(2016)A Remote Collaboration System with Empathy Glasses2016 IEEE International Symposium on Mixed and Augmented Reality (ISMAR-Adjunct)10.1109/ISMAR-Adjunct.2016.0112(342-343)Online publication date: Oct-2016
https://doi.org/10.1109/ISMAR-Adjunct.2016.0112
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