Facial Expression Recognition Using Thermal Image Processing and Efficient Preparation of Training-data

DOI

10.2991/jrnal.2015.2.2.3How to use a DOI?

Keywords

Efficient gathering of training data, Facial expression recognition, Thermal image processing, Speech recognition, Vowel judgment

Abstract

Using our previously developed system, we investigated the influence of training data on the facial expression accuracy using the training data of “taro” for the intentional facial expressions of “angry,” “sad,” and “surprised,” and the training data of respective pronunciation for the intentional facial expressions of “happy” and “neutral.” Using the proposed method, the facial expressions were discriminable with average accuracy of 72.4% for “taro,” “koji” and “tsubasa”, for the three facial expressions of “happy,” “neutral,” and “other”.

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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TY  - JOUR
AU  - Yuu Nakanishi
AU  - Yasunari Yoshitomi
AU  - Taro Asada
AU  - Masayoshi Tabuse
PY  - 2015
DA  - 2015/09/01
TI  - Facial Expression Recognition Using Thermal Image Processing and Efficient Preparation of Training-data
JO  - Journal of Robotics, Networking and Artificial Life
SP  - 79
EP  - 84
VL  - 2
IS  - 2
SN  - 2352-6386
UR  - https://doi.org/10.2991/jrnal.2015.2.2.3
DO  - 10.2991/jrnal.2015.2.2.3
ID  - Nakanishi2015
ER  -