开发和验证艾滋病医院面部工具箱用于情绪识别
Rohit Verma1, Navkiran Kalsi1, Neha Priya Shrivastava1
1Brain Mapping Lab, Dept. of Psychiatry, All India Institute of Medical Sciences (AIIMS), New Delhi, India.
Indian journal of psychological medicine
|September 29, 2023
概括
艾滋病医院面部情绪识别工具箱 (AFTER) 数据库提供了15位艺术家展示七种情绪的240张图像. 这个经过验证的数据库显示了高的识别率和专家一致意见,这对印度情感识别研究很有用.
科学领域:
- 心理学 心理学 心理学
- 计算机科学 计算机科学
- 神经科学是一个神经科学.
背景情况:
- 面部表情数据库对于情绪调节研究至关重要,因为它们的社会和生物相关性.
- 艾滋病医院面部情绪识别工具箱 (AFTER) 数据库推出,包含15位成年艺术家的240张图像.
- 数据库捕获了七种不同的面部表情:中立,快乐,愤怒,悲伤,厌恶,恐惧和惊喜.
研究的目的:
- 开发和验证一个针对印度环境量身定制的新型面部表情数据库.
- 为研究面部情绪识别和情绪调节研究提供资源.
主要方法:
- 一项横截面研究涉及15名戏剧学院学生 (6名男性,9名女性),他们摆出了240张不同情绪表达和强度的图像.
- 图像被捕获在一个受控的,明亮的照明环境与平坦的背景.
- 验证涉及19名心理健康专业人员和2名戏剧艺术教师,他们使用5分利克特级别对情绪的强度,清晰度和真实性进行评分.
主要成果:
- 数据库在情绪识别 (不包括蔑视) 方面取得了84.3%的成功率,平均卡帕为0.68.
- 专家评级者报告了所描绘情绪的强度,清晰度和真实性的高平均得分.
- 在验证过程中观察到高级别之间的可靠性.
结论:
- AFTER数据库是印度人口中面部情绪识别研究的宝贵,经过验证的资源.
- 数据库的高级别之间的可靠性确保了其对科学应用的稳定性.
- 本资源支持在不同文化背景下理解情绪处理和调节方面的进步.
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