通过智能手机捕捉到的面部特征来检测与事件相关的驱动愤怒
Yi Wang1, Xin Zhou1, Yang Yang2
1National Key Laboratory of Human Factors Engineering, Department of Industrial Engineering, Tsinghua University, Beijing, China.
Ergonomics
|October 22, 2024
概括
这项研究表明,智能手机可以通过面部表情来检测驱动愤怒,达到87%的准确性. 这种非接触式方法可以识别与愤怒相关的面部暗示,以提高道路安全.
科学领域:
- 人与计算机的交互
- 道路交通安全 道路交通安全
- 情感计算是一种情感计算.
背景情况:
- 驾驶愤怒是一个重要的全球道路安全问题.
- 需要有效的检测和干预方法来驱动愤怒.
- 目前的方法可能缺乏可访问性或侵入性.
研究的目的:
- 调查使用智能手机捕获的面部表情来检测与事件相关的驾驶愤怒的可行性.
- 开发和评估用于驱动愤怒检测的机器学习模型.
- 识别关键的面部部位和表情特征,这些特征表明激发愤怒.
主要方法:
- 60名司机参与了模拟的驾驶任务,诱导了愤怒和中立状态.
- 收集了面部表情,生理信号和主观数据.
- 用面部特征,生理信号和机器学习算法 (包括XGBoost) 来构建检测模型.
主要成果:
- 使用面部特征和XGBoost的模型实现了87.04%的准确性和85.06%的F1得分.
- 眼睛,嘴巴和眉毛被确定为关键的愤怒敏感面部区域.
- 整合个体特征提高了模型性能.
结论:
- 基于智能手机的面部表情分析提供了一种可行的非接触式方法,用于检测与事件相关的驱动愤怒.
- 这种方法具有成本效益和可访问性,在智能汽车系统中具有潜在的应用.
- 研究结果为开发车辆中的实时情感交互系统提供了洞察力.
相关概念视频
01:24Facial Feedback Hypothesis
132
Charles Darwin proposed that facial expressions are an evolutionary adaptation for communication. He argued that these expressions are not influenced by culture but are universal across species. For example, a snarling expression with exposed teeth signals a threat in many animals, including humans. Darwin also suggested that displaying an emotion can intensify the feeling. Smiling, for example, could enhance one's sense of happiness. This idea laid the foundation for understanding the role...
132
01:42Schemas
11.5K
A schema is a mental construct consisting of a cluster or collection of related concepts (Bartlett, 1932). There are many different types of schemata, and they all have one thing in common: schemata are a method of organizing information that allows the brain to work more efficiently. When a schema is activated, the brain makes immediate assumptions about the person or object being observed.
11.5K