AffectiveWear

Toward recognizing facial expression

Katsutoshi Masai, Yuta Sugiura, Masa Ogata, Katsuhiro Suzuki, Fumihiko Nakamura, Sho Shimamura, Kai Steven Kunze, Masahiko Inami, Maki Sugimoto

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationACM SIGGRAPH 2015 Emerging Technologies, SIGGRAPH 2015
PublisherAssociation for Computing Machinery, Inc
ISBN (Print)9781450336352
DOIs
Publication statusPublished - 2015 Jul 31
EventInternational Conference on Computer Graphics and Interactive Techniques, SIGGRAPH 2015 - Los Angeles, United States
Duration: 2015 Aug 92015 Aug 13

Other

OtherInternational Conference on Computer Graphics and Interactive Techniques, SIGGRAPH 2015
CountryUnited States
CityLos Angeles
Period15/8/915/8/13

Fingerprint

Computer vision
Cameras

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Graphics and Computer-Aided Design
  • Software

Cite this

Masai, K., Sugiura, Y., Ogata, M., Suzuki, K., Nakamura, F., Shimamura, S., ... Sugimoto, M. (2015). AffectiveWear: Toward recognizing facial expression. In ACM SIGGRAPH 2015 Emerging Technologies, SIGGRAPH 2015 [a4] Association for Computing Machinery, Inc. https://doi.org/10.1145/2782782.2792495

AffectiveWear : Toward recognizing facial expression. / Masai, Katsutoshi; Sugiura, Yuta; Ogata, Masa; Suzuki, Katsuhiro; Nakamura, Fumihiko; Shimamura, Sho; Kunze, Kai Steven; Inami, Masahiko; Sugimoto, Maki.

ACM SIGGRAPH 2015 Emerging Technologies, SIGGRAPH 2015. Association for Computing Machinery, Inc, 2015. a4.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Masai, K, Sugiura, Y, Ogata, M, Suzuki, K, Nakamura, F, Shimamura, S, Kunze, KS, Inami, M & Sugimoto, M 2015, AffectiveWear: Toward recognizing facial expression. in ACM SIGGRAPH 2015 Emerging Technologies, SIGGRAPH 2015., a4, Association for Computing Machinery, Inc, International Conference on Computer Graphics and Interactive Techniques, SIGGRAPH 2015, Los Angeles, United States, 15/8/9. https://doi.org/10.1145/2782782.2792495
Masai K, Sugiura Y, Ogata M, Suzuki K, Nakamura F, Shimamura S et al. AffectiveWear: Toward recognizing facial expression. In ACM SIGGRAPH 2015 Emerging Technologies, SIGGRAPH 2015. Association for Computing Machinery, Inc. 2015. a4 https://doi.org/10.1145/2782782.2792495
Masai, Katsutoshi ; Sugiura, Yuta ; Ogata, Masa ; Suzuki, Katsuhiro ; Nakamura, Fumihiko ; Shimamura, Sho ; Kunze, Kai Steven ; Inami, Masahiko ; Sugimoto, Maki. / AffectiveWear : Toward recognizing facial expression. ACM SIGGRAPH 2015 Emerging Technologies, SIGGRAPH 2015. Association for Computing Machinery, Inc, 2015.
@inproceedings{d9b5f99e01074e559c255d5f07c8d562,
title = "AffectiveWear: Toward recognizing facial expression",
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.",
author = "Katsutoshi Masai and Yuta Sugiura and Masa Ogata and Katsuhiro Suzuki and Fumihiko Nakamura and Sho Shimamura and Kunze, {Kai Steven} and Masahiko Inami and Maki Sugimoto",
year = "2015",
month = "7",
day = "31",
doi = "10.1145/2782782.2792495",
language = "English",
isbn = "9781450336352",
booktitle = "ACM SIGGRAPH 2015 Emerging Technologies, SIGGRAPH 2015",
publisher = "Association for Computing Machinery, Inc",

}

TY - GEN

T1 - AffectiveWear

T2 - Toward recognizing facial expression

AU - Masai, Katsutoshi

AU - Sugiura, Yuta

AU - Ogata, Masa

AU - Suzuki, Katsuhiro

AU - Nakamura, Fumihiko

AU - Shimamura, Sho

AU - Kunze, Kai Steven

AU - Inami, Masahiko

AU - Sugimoto, Maki

PY - 2015/7/31

Y1 - 2015/7/31

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=84957935547&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84957935547&partnerID=8YFLogxK

U2 - 10.1145/2782782.2792495

DO - 10.1145/2782782.2792495

M3 - Conference contribution

SN - 9781450336352

BT - ACM SIGGRAPH 2015 Emerging Technologies, SIGGRAPH 2015

PB - Association for Computing Machinery, Inc

ER -