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

• Main Authors: Yuu Nakanishi, Yasunari Yoshitomi, Taro Asada, Masayoshi Tabuse
• Format: Article
• Language: English
• Published: Atlantis Press 2015-08-01
• Series: Journal of Robotics, Networking and Artificial Life (JRNAL)
• Subjects: Efficient gathering of training data; Facial expression recognition; Thermal image processing; Speech recognition; Vowel judgment
• Online Access: https://www.atlantis-press.com/article/25831.pdf
• ISSN: 2352-6386

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”.