Journal of Robotics, Networking and Artificial Life

Volume 2, Issue 1, June 2015, Pages 5 - 8

Facial Expression Recognition Using Facial Expression Intensity Characteristics of Thermal Image

Authors
Yasunari Yoshitomi, Taro Asada, Ryota Kato, Masayoshi Tabuse
Corresponding Author
Yasunari Yoshitomi
Available Online 1 June 2015.
DOI
https://doi.org/10.2991/jrnal.2015.2.1.2How to use a DOI?
Keywords
Facial expression recognition, Area of mouth and jaw, Thermal image, and Utterance judgment
Abstract

To develop a robot that understands human feeling, we propose a method for recognizing facial expressions. A video was analyzed by thermal image processing and the feature parameter of facial expression, which was extracted in the area of the mouth and jaw by a two-dimensional discrete cosine transform. The facial expression intensity, defined as the norm of the difference vector between the feature vector of the neutral facial expression and that of the observed one, was measured. The feature vector made by facial expression intensity and time at utterance was used for recognizing facial expression.

Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Journal
Journal of Robotics, Networking and Artificial Life
Volume-Issue
2 - 1
Pages
5 - 8
Publication Date
2015/06/01
ISSN (Online)
2352-6386
ISSN (Print)
2405-9021
DOI
https://doi.org/10.2991/jrnal.2015.2.1.2How to use a DOI?
Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - Yasunari Yoshitomi
AU  - Taro Asada
AU  - Ryota Kato
AU  - Masayoshi Tabuse
PY  - 2015
DA  - 2015/06/01
TI  - Facial Expression Recognition Using Facial Expression Intensity Characteristics of Thermal Image
JO  - Journal of Robotics, Networking and Artificial Life
SP  - 5
EP  - 8
VL  - 2
IS  - 1
SN  - 2352-6386
UR  - https://doi.org/10.2991/jrnal.2015.2.1.2
DO  - https://doi.org/10.2991/jrnal.2015.2.1.2
ID  - Yoshitomi2015
ER  -