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相关概念视频

Labeling Emotion01:20

Labeling Emotion

188
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...
188
Physiology of Emotion01:20

Physiology of Emotion

1.0K
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...
1.0K
Emotional Expression01:26

Emotional Expression

295
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...
295
Introduction to Motivation and Emotion01:29

Introduction to Motivation and Emotion

433
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...
433
Cognitive Theories: Schachter-Singer Theory of Emotion01:20

Cognitive Theories: Schachter-Singer Theory of Emotion

482
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...
482
Empathy02:34

Empathy

9.6K
Some researchers suggest that altruism operates on empathy. Empathy is the capacity to understand another person’s perspective, to feel what he or she feels. An empathetic person makes an emotional connection with others and feels compelled to help (Batson, 1991). Empathy can be expressed in several ways, including cognitive, affective, and motor. 
9.6K

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相关实验视频

Updated: Jul 27, 2025

Exploring the Use of Isolated Expressions and Film Clips to Evaluate Emotion Recognition by People with Traumatic Brain Injury
05:51

Exploring the Use of Isolated Expressions and Film Clips to Evaluate Emotion Recognition by People with Traumatic Brain Injury

Published on: May 15, 2016

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对多模态情绪识别野生数据集的评估

Ana Aguilera1, Diego Mellado2, Felipe Rojas1

  • 1Escuela de Ingeniería Informática, Universidad de Valparaíso, Valparaíso 2340000, Chile.

Sensors (Basel, Switzerland)
|June 10, 2023
PubMed
概括

对多式联动情绪识别的野生数据集的评估揭示了局限性. 建议将多个数据集结合起来,以便在情感AI系统中获得更好的现实世界性能.

科学领域:

  • 人工智能的人工智能
  • 人与计算机的交互
  • 情感计算是一种情感计算.

背景情况:

  • 多模式情绪识别利用各种数据 (面孔,语音,文本) 来识别人类的情绪.
  • 当前的深度学习模型通常在现实环境中扎,原因是对受控数据集的训练.

研究的目的:

  • 评估用于多式联动情绪识别的野生数据集的优缺点.
  • 评估现有数据集对于实际情感AI应用的适用性.

主要方法:

  • 评估了四个野生动物数据集:AFEW,SFEW,MELD和AffWild2.
  • 使用预先设计的多式联网架构进行性能评估.
  • 使用精度和F1-Score指标测量性能.

主要成果:

  • 野生数据集对独立的多式联络式情绪识别有局限性.
  • 数据集的适用性通常受其原始设计目的 (例如,面部或语音识别) 的限制.

结论:

  • 单独的野生数据集不足以进行强大的多式联络情绪识别.
  • 结合多个数据集和平衡类样本对于改善现实世界的性能至关重要.
关键词:
深度学习 (Deep Learning) 是一种深度学习.在野外的数据集.多式联动情绪识别多式联动情绪识别

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Last Updated: Jul 27, 2025

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