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相关概念视频

Emotional Expression01:26

Emotional Expression

375
Emotional expression encompasses how individuals convey their emotions through verbal communication and non-verbal cues. These non-verbal actions include facial expressions, body language, and physical gestures, such as frowning or smiling. Among these, facial expressions play a crucial role in emotional expression and are understood universally, indicating a biological basis for how humans communicate emotions.
Universal Facial Expressions
Psychologist Paul Ekman identified seven basic...
375
Labeling Emotion01:20

Labeling Emotion

239
Emotional labeling is a cognitive process that involves identifying and naming one's emotions, such as anger, fear, happiness, or sadness. It allows individuals to recognize and express their internal emotional states, a critical aspect of emotional regulation and communication. Labeling emotions requires more than mere recognition; it also involves drawing upon memory and contextual cues to understand the current situation and apply a corresponding emotional label. For instance, feeling...
239
Facial Feedback Hypothesis01:24

Facial Feedback Hypothesis

249
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...
249
Physiology of Emotion01:20

Physiology of Emotion

1.4K
The physiology of emotions is a multifaceted process involving the autonomic nervous system, brain structures, hormones, and neurotransmitters. This intricate interplay dictates how emotions manifest in the body and influence behavior.
Autonomic Nervous System
The autonomic nervous system (ANS) plays a critical role in emotional responses by regulating involuntary physiological functions. It consists of two main components: the sympathetic and parasympathetic systems. The sympathetic system...
1.4K
Introduction to Motivation and Emotion01:29

Introduction to Motivation and Emotion

509
Motivation is a multifaceted process that drives behavior toward fulfilling various physiological or psychological needs. This process involves initiating, guiding, and maintaining specific actions influenced by internal and external factors. For example, when someone feels hungry while watching television, hunger is a motivator, prompting the individual to get up, walk to the kitchen, and find something to eat. In this instance, hunger initiates and sustains the behavior necessary to meet the...
509
Cognitive Theories: Schachter-Singer Theory of Emotion01:20

Cognitive Theories: Schachter-Singer Theory of Emotion

595
Stanley Schachter and Jerome Singer proposed the two-factor theory of emotion, which emphasizes the interplay between physiological arousal and cognitive labeling in forming emotional experiences. This theory suggests that emotions are not simply a result of physiological responses but rather a combination of these responses and the individual's cognitive interpretation of them.
Physiological Arousal and Cognitive Labeling
According to this theory, when an individual experiences...
595

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相关实验视频

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基于行动单元的微表情识别框架用于驾驶员情绪状态检测.

Parul Malik1, Jaiteg Singh2, Farman Ali3

  • 1Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, 140401, India.

Scientific reports
|July 30, 2025
PubMed
概括
此摘要是机器生成的。

这项研究开发了一个面部微表情识别框架,使用面部行动单元 (AU) 检测驾驶员的情绪. 该系统准确地识别出愤怒和恐惧等情绪,这对于提高道路安全至关重要.

关键词:
行动单位 行动单位聚合集群集群集群集群集群集群集群集群集群集群集群集群集群集群集群集群集群集群集群集群集群集群集群集群集群集群集群集群集群集群集群集群集群集群集群集群集群集群集群集群集群集群集群集群集群集群集群集群集群集群集群集群集群集群集群集群集群集群集群集群集群集群集群集群集群集群集群集群集群集群集群集群集群集群集群集群集群集群集群集群集群集群集群集群集群集群集群集群集群集群集群集群集群集群集群集群集群集群集群集群集群集群集群集群集群集群集群集司机的 司机的情绪识别 情绪识别微表达式的微表达方式

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科学领域:

  • 计算机科学 计算机科学
  • 心理学 心理学 心理学
  • 人与计算机的交互

背景情况:

  • 司机的情绪状态显著影响道路安全和决策.
  • 面部微表情提供了通用的线索,真正的情绪,即使隐藏.
  • 面部行动编码系统 (FACS) 提供了一个通过行动单位 (AU) 分析表达式的框架.

研究的目的:

  • 开发和评估用于识别驾驶员情绪状态的微表情识别框架.
  • 利用面部行动单位 (AU) 精确检测司机的情绪.
  • 通过对驾驶员情绪的准确分析,提高道路安全.

主要方法:

  • 使用混合模型,将空间特征的剩余网络 (ResNet18) 与时间模式的双向长短期内存 (Bi-LSTM) 结合起来.
  • 采用AU组合的聚合集群,以提高情绪分类的准确性.
  • 培训并验证了SAM和KMU-FED基准数据集的框架.

主要成果:

  • 在SAM上达到96.38%的高识别精度,在KMU-FED数据集上达到95.96%.
  • 通过案例分析检测驾驶员情绪状态的准确性达到了91.00%.
  • 确定愤怒,厌恶,悲伤和恐惧是司机的主要情绪.

结论:

  • 拟议的框架有效地使用基于AU的微表情分析来识别驾驶员的情绪.
  • 通过微表情精确检测驾驶员的情绪,可以大大提高道路安全.
  • 利用AU用于微表情识别,为评估驾驶员情绪状态提供了一种精确的方法.