poster

AffectiveWear: toward recognizing facial expression

Authors:

Maki SugimotoAuthors Info & Claims

SIGGRAPH '15: ACM SIGGRAPH 2015 Posters

Article No.: 16, Page 1

https://doi.org/10.1145/2787626.2792632

Published: 31 July 2015 Publication History

Get Access

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.

Digital Library

Google Scholar

Cited By

View all

Fang XXia CSugiura Y(2021)FacialPen: Using Facial Detection to Augment Pen-Based InteractionProceedings of the Asian CHI Symposium 202110.1145/3429360.3467672(1-8)Online publication date: 8-May-2021
https://dl.acm.org/doi/10.1145/3429360.3467672
Sakashita MMinagawa TKoike ASuzuki IKawahara KOchiai YGajos KMankoff JHarrison C(2017)You as a PuppetProceedings of the 30th Annual ACM Symposium on User Interface Software and Technology10.1145/3126594.3126608(217-228)Online publication date: 20-Oct-2017
https://dl.acm.org/doi/10.1145/3126594.3126608
Sakashita MKawahara KKoike ASuzuki KSuzuki IOchiai Y(2016)YadoriACM SIGGRAPH 2016 Emerging Technologies10.1145/2929464.2929478(1-1)Online publication date: 24-Jul-2016
https://dl.acm.org/doi/10.1145/2929464.2929478

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

Recommendations

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 ...
AffectiveWear: toward recognizing facial expression
SIGGRAPH '15: ACM SIGGRAPH 2015 Emerging Technologies

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 ...
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 ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

SIGGRAPH '15: ACM SIGGRAPH 2015 Posters

July 2015

95 pages

ISBN:9781450336321

DOI:10.1145/2787626

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.

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 31 July 2015

Check for updates

Qualifiers

Poster

Conference

SIGGRAPH '15

Sponsor:

SIGGRAPH

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

August 9 - 13, 2015

California, Los Angeles

Acceptance Rates

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

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

3
Total Citations
View Citations
220
Total Downloads

Downloads (Last 12 months)1
Downloads (Last 6 weeks)1

Reflects downloads up to 21 Nov 2024

Other Metrics

View Author Metrics

Citations

Cited By

View all

Fang XXia CSugiura Y(2021)FacialPen: Using Facial Detection to Augment Pen-Based InteractionProceedings of the Asian CHI Symposium 202110.1145/3429360.3467672(1-8)Online publication date: 8-May-2021
https://dl.acm.org/doi/10.1145/3429360.3467672
Sakashita MMinagawa TKoike ASuzuki IKawahara KOchiai YGajos KMankoff JHarrison C(2017)You as a PuppetProceedings of the 30th Annual ACM Symposium on User Interface Software and Technology10.1145/3126594.3126608(217-228)Online publication date: 20-Oct-2017
https://dl.acm.org/doi/10.1145/3126594.3126608
Sakashita MKawahara KKoike ASuzuki KSuzuki IOchiai Y(2016)YadoriACM SIGGRAPH 2016 Emerging Technologies10.1145/2929464.2929478(1-1)Online publication date: 24-Jul-2016
https://dl.acm.org/doi/10.1145/2929464.2929478

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Cited By

Index Terms

Recommendations

AffectiveWear: towards recognizing affect in real life

AffectiveWear: toward recognizing facial expression

Collaborative expression representation using peak expression and intra class variation face images for practical subject-independent emotion recognition in videos