Development and validation of a facial expression database based on the dimensional and categorical model of emotions
Development and validation of a facial expression database based on the dimensional and categorical model of emotions
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DOI：
10.1080/02699931.2017.1419936
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发表时间：
2018-11-17
影响因子：
2.6
通讯作者：
Umemura, Hiroyuki
中科院分区：
文献类型：
--
作者：
Fujimura, Tomomi;Umemura, Hiroyuki
本研究描述了一个面部表情数据库的开发和验证，包括五个不同的水平面角在动态和静态演示。该数据库包括由8名日本模特描绘的12种表情类型。这个数据库的灵感来自情绪的维度和分类模型：惊讶，恐惧，悲伤，张嘴的愤怒，闭上嘴的愤怒，张嘴的厌恶，闭上嘴的厌恶，兴奋，快乐，放松，困倦和中性（仅静态）。使用情感分类和情感网格评级任务验证表达[Russell，韦斯，& Mendelsohn，1989。情感网格：一个关于快乐和唤醒的单项量表。Journal of Personality and Social Psychology，57（3），493-502].结果表明，大多数表情被认为是预期的情绪，并能系统地代表情感效价和唤醒。此外，面部角度和面部运动信息影响情绪分类和效价和唤醒评级。我们的数据库将在以下网址在线提供。.
The present study describes the development and validation of a facial expression database comprising five different horizontal face angles in dynamic and static presentations. The database includes twelve expression types portrayed by eight Japanese models. This database was inspired by the dimensional and categorical model of emotions: surprise, fear, sadness, anger with open mouth, anger with closed mouth, disgust with open mouth, disgust with closed mouth, excitement, happiness, relaxation, sleepiness, and neutral (static only). The expressions were validated using emotion classification and Affect Grid rating tasks [Russell, Weiss, & Mendelsohn, 1989. Affect Grid: A single-item scale of pleasure and arousal. Journal of Personality and Social Psychology, 57(3), 493-502]. The results indicate that most of the expressions were recognised as the intended emotions and could systematically represent affective valence and arousal. Furthermore, face angle and facial motion information influenced emotion classification and valence and arousal ratings. Our database will be available online at the following URL. .