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相关概念视频

Cognitive Theories: Schachter-Singer Theory of Emotion01:20

Cognitive Theories: Schachter-Singer Theory of Emotion

343
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...
343
Labeling Emotion01:20

Labeling Emotion

119
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...
119
Emotional Expression01:26

Emotional Expression

197
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...
197
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

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Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence...
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相关实验视频

Updated: Jun 17, 2025

Exploring the Use of Isolated Expressions and Film Clips to Evaluate Emotion Recognition by People with Traumatic Brain Injury
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一个用于混合情绪识别的多模式数据集.

Pei Yang1, Niqi Liu1, Xinge Liu1

  • 1Tsinghua University, Department of Computer Science and Technology, Beijing, 100084, China.

Scientific data
|August 5, 2024
PubMed
概括
此摘要是机器生成的。

研究人员创建了一个新的多式联络数据集,用于识别混合情绪. 该数据集使用EEG,GSR,PPG和面部视频,在对积极,消极和混合情绪状态的分类中实现了80.96%的准确性.

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Cross-Modal Multivariate Pattern Analysis
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科学领域:

  • 情感计算是一种情感计算.
  • 人与计算机的互动.
  • 心理生理学 心理生理学

背景情况:

  • 混合情绪越来越多地被认可,但在多式联络数据集中代表性不足.
  • 现有的研究缺乏综合数据集,用于使用生理和视觉信号识别混合情绪.

研究的目的:

  • 引入一种用于混合情绪识别的新型多式联络数据集.
  • 促进对复杂情绪状态的情感计算的进步.
  • 用多式联络数据验证情绪诱导和分类方法.

主要方法:

  • 开发了一个基于规则的视频过系统,用于有效的情感诱导.
  • 收集了来自73名参与者的多式联络数据 (EEG,GSR,PPG,面部视频).
  • 使用PANAS,VAD和娱乐厌恶等级记录主观情绪评级.

主要成果:

  • 技术验证证实了有效的情绪诱导和分类.
  • 支持向量机 (SVM) 具有来自所有模式的功能,实现了 80.96% 的准确性,用于 3 个类别的情绪分类 (正,负,混合).

结论:

  • 提出的多式联络数据集支持研究混合情绪识别.
  • 多模式信号,包括生理和面部数据,显示出识别混合情绪状态的巨大潜力.
  • 这项工作通过提供有价值的资源和证明分类可行性,推动了情感计算领域的发展.