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相关概念视频

Facial Feedback Hypothesis01:24

Facial Feedback Hypothesis

139
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...
139
Labeling Emotion01:20

Labeling Emotion

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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...
125
Cognitive Theories: Schachter-Singer Theory of Emotion01:20

Cognitive Theories: Schachter-Singer Theory of Emotion

369
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...
369
Physiology of Emotion01:20

Physiology of Emotion

721
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...
721

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相关实验视频

Updated: Jun 23, 2025

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
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用计算机视觉和深度学习检测情绪的系统审查.

Rafael Pereira1, Carla Mendes1, José Ribeiro1

  • 1Computer Science and Communications Research Centre, School of Technology and Management, Polytechnic of Leiria, 2411-901 Leiria, Portugal.

Sensors (Basel, Switzerland)
|June 19, 2024
PubMed
概括
此摘要是机器生成的。

这份系统性审查分析了77篇关于深度学习和计算机视觉的论文,以识别情绪. 它强调了面部和基于姿势的情绪检测方法和数据集的趋势,这对人机交互应用至关重要.

关键词:
计算机视觉 计算机视觉深度学习是一种深度学习.情绪检测 情绪检测情感识别 情感识别 情感识别系统性审查 系统性审查

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相关实验视频

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科学领域:

  • 计算机视觉 计算机视觉
  • 深度学习 (Deep Learning) 是一种深度学习.
  • 人与计算机的交互

背景情况:

  • 情感识别对于人机交互 (HCI) 在心理学,医疗保健和娱乐领域至关重要.
  • 深度学习 (DL) 和计算机视觉是推动这一领域进步的关键技术.

研究的目的:

  • 系统地审查和评估77篇关于使用DL和计算机视觉识别面部和情绪的论文.
  • 分析用于情感识别研究的范围,方法和数据集.

主要方法:

  • 按照系统审查和元分析 (PRISMA) 准则的首选报告项目进行系统性文献审查.
  • 使用拟议分类法对研究进行分类,包括表达式类型,测试环境,DL方法和数据集.
  • 分析流行DL模型,如卷积神经网络 (CNN),基于快速区域的卷积神经网络 (R-CNN) 和视觉变换器 (ViT).

主要成果:

  • 确定了卷积神经网络 (CNN),基于快速区域的卷积神经网络 (R-CNN) 和视觉变压器 (ViT) 作为最常见的DL模型.
  • 突出了面部和姿势式情绪识别数据集和方法的趋势.
  • 提供了最先进的算法和数据集的概述.

结论:

  • 该评论提供了对当前趋势和情绪识别研究的基本组成部分的全面了解.
  • 它作为研究人员导航计算机视觉算法和情绪检测数据集的景观的指南.
  • 强调DL在识别面部表情和身体姿势的情绪方面日益重要和适用.