伊朗社区情感面部数据库的有效性研究
Azar Mohammadzadeh1, Mehdi Tehrani-Doost1,2, Elnaz Yaghoobi3
1Research Center for Cognitive and Behavioral Sciences, Roozbeh Hospital, Tehran University of Medical Sciences, Tehran, Iran.
Iranian journal of psychiatry
|July 1, 2025
概括
这项研究验证了伊朗社区面部情绪识别数据库,发现快乐和悲伤情绪的高准确性. 经过验证的数据库有助于研究和应用情绪识别,包括在临床人群中,如患有自闭症谱系障碍的人群.
科学领域:
- 心理学 心理学 心理学
- 神经科学是一个神经科学.
- 计算机科学 计算机科学
背景情况:
- 面部情绪识别 (FER) 对于社交互动至关重要.
- 文化验证的面部数据库对于在特定社区进行准确的FER研究至关重要.
- 现有的数据库可能无法准确地反映伊朗人口的情绪表达.
研究的目的:
- 为了验证Radboud面部数据库在伊朗社区内进行情感识别.
- 在伊朗样本中评估情感识别的准确性.
- 识别和选择具有高互评分协议的面部刺激,用于研究和临床应用.
主要方法:
- 一项涉及142名伊朗成年人 (年龄在20-50岁) 的横截面研究.
- 参与者从面部刺激中确定了情绪,价值和兴奋.
- 使用协议百分比和ANOVA分析来评估准确性和确定合适的刺激.
主要成果:
- 识别基本情绪的整体准确率约为84%.
- 幸福 (98%) 和悲伤 (91%) 面孔的准确性最高;中立 (75%) 和恐惧 (76%) 面孔的准确性最低.
- 在情感识别准确度方面没有发现显著的性别差异. 选择了具有>85%一致性的刺激.
结论:
- 该研究成功地为伊朗人口创建了一个文化验证的面部情绪识别数据库.
- 选择的刺激适用于临床和非临床组的情绪识别研究.
- 这个资源可以支持开发工具,以改善情绪检测,特别是对于自闭症谱系障碍的个体.
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