Facial Expression Recognition Using Thermal Image Processing and Efficient Preparation of Training-data
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 f...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Atlantis Press
2015-08-01
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Series: | Journal of Robotics, Networking and Artificial Life (JRNAL) |
Subjects: | |
Online Access: | https://www.atlantis-press.com/article/25831.pdf |
Summary: | 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”. |
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ISSN: | 2352-6386 |