Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Nonconscious Mimicry01:13

Nonconscious Mimicry

4.5K
Nonconscious mimicry occurs when individuals alter their mannerisms to match the behaviors and expressions of those nearby, without intention.
4.5K
Facial Feedback Hypothesis01:24

Facial Feedback Hypothesis

113
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...
113
Emotional Expression01:26

Emotional Expression

146
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...
146
Labeling Emotion01:20

Labeling Emotion

88
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...
88

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Contrastive Machine Learning to Quantify Hypertensive Multiorgan Damage and Identify New Disease Phenotypes: A Multinational Multimodal Study.

Circulation·2026
Same author

Continuous bidirectional coupling of heart rate variability and emotions in dyad speaker-listener dynamics reveals unique interpersonal synchronization.

Frontiers in systems neuroscience·2026
Same author

Applications of artificial intelligence and computational approaches to imaging for hypertension identification, phenotyping, and outcome prediction: a systematic review.

European heart journal. Digital health·2026
Same author

Clinical AI is Not (Yet) Trustworthy-But It Could Be.

Journal of medical Internet research·2026
Same author

Bidirectional coupling of physiology and emotions reveals unique speaker-listener dynamics.

Social cognitive and affective neuroscience·2026
Same author

VarCoNet: A Variability-Aware Self-Supervised Framework for Functional Connectome Extraction From Resting-State fMRI.

Human brain mapping·2026

相关实验视频

Updated: May 24, 2025

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

2.5K

情感网络:基于深度学习的情感气候识别,使用同伴的对话语言,影响动态和生理数据.

Ghada Alhussein, Mohanad Alkhodari, Shiza Saleem

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |March 5, 2025
    PubMed
    概括

    这项研究介绍了EmoNet,这是一种用于识别社会互动中的集体情绪气候的AI模型. EmoNet集成了语音和生理数据,提高了对话中的情绪识别准确度.

    更多相关视频

    Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease
    10:28

    Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease

    Published on: July 24, 2019

    15.0K
    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

    8.9K

    相关实验视频

    Last Updated: May 24, 2025

    Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
    06:37

    Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

    Published on: December 15, 2023

    2.5K
    Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease
    10:28

    Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease

    Published on: July 24, 2019

    15.0K
    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

    8.9K

    科学领域:

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

    背景情况:

    • 了解社会情感动态是解释的关键.
    • 当前的情绪识别系统往往忽略了集体情绪气候.
    • 在实时交互中识别群体情绪仍然是一个挑战.

    研究的目的:

    • 开发一个人工智能模型,EmoNet,用于识别集体情绪气候.
    • 通过整合多个数据流,超越传统的情感识别.
    • 提供一种整体的方法来理解群体在对话中的影响.

    主要方法:

    • 爱莫网使用Mel频 cepstral系数 (MFCCs) 来提取语音特征.
    • 时间卷积网络 (TCN) 用于深度特征学习.
    • 影响动态与生理输入 (心率,电皮活动) 的整合,进行全面分析.

    主要成果:

    • 在K-EmoCon数据集上,EmoNet在分类兴奋 (87.82%) 和价值 (83.79%) 中表现出很高的准确性.
    • 该模型成功地捕捉到了小组互动中的微妙情感动态.
    • 绩效指标表明,集体情绪识别方面取得了重大进展.

    结论:

    • EmoNet提供了一种新的方法来理解和影响对话中的情绪气候.
    • 该模型在医疗保健和人机交互中具有潜在的应用,以改善社会动态.
    • 这项研究强调了多式联络数据对于准确的集体情绪识别的重要性.