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相关概念视频

Emotional Expression01:26

Emotional Expression

267
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...
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Muscles for Facial Expressions01:14

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The craniofacial muscles are a collection of approximately 20 thin skeletal muscles situated beneath the skin of the face and scalp. These muscles, primarily responsible for the vast array of human facial expressions, originate from the bones or fibrous structures of the skull and extend outwards to connect with the skin. While most skeletal muscles in the body are enveloped in thick fascia, facial muscles generally have a more delicate fascial covering, with the buccinator muscle being a...
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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...
161
Facial Feedback Hypothesis01:24

Facial Feedback Hypothesis

179
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...
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多视图情绪表达数据集使用2D姿势估计数据集.

Mingming Zhang1,2, Yanan Zhou1,2, Xinye Xu1,2

  • 1Research Center of Brain and Cognitive Neuroscience, Liaoning Normal University, Dalian, 116029, Liaoning, China.

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概括
此摘要是机器生成的。

本研究介绍了多视图情绪表达数据集 (MEED),这是一个大集合的2D视频捕捉自然的人体语言和情绪. MEED为推进情感计算和人机交互研究提供了关键数据.

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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
  • 神经科学是一个神经科学.

背景情况:

  • 人体表情对于传达情绪和意图至关重要,往往超过了口头交流.
  • 现有的身体表情数据集主要使用运动捕捉,缺乏自然主义的2D视频数据.
  • 需要可访问的,大规模的自然肢体语言数据集用于研究.

研究的目的:

  • 介绍多视图情绪表达数据集 (MEED),这是研究肢体语言的新资源.
  • 通过2D视频捕获的自然化情感身体表达的综合数据集.
  • 促进对情感计算,人机交互和相关领域的研究.

主要方法:

  • 收集了22位演员的4102个视频,显示了6种情绪 (愤怒,厌恶,恐惧,快乐,悲伤,惊喜) 和中性表情.
  • 从三个角度记录运动:左,正面和右.
  • 使用2D姿势估计生成相应的姿势数据 (397,809个PNG和JSON文件).

主要成果:

  • 多视图情绪表达数据集 (MEED) 包含超过150GB的数据.
  • 包括不同情绪表达的同步视频和2D姿势估计数据.
  • 为人类情感肢体语言的计算分析提供了丰富的资源.

结论:

  • MEED解决了随时可用的,自然主义的2D身体表达数据集的缺口.
  • 该数据集预计将显著有利于在情感计算,HCI,社会神经科学和精神病学方面的研究.
  • 促进了更复杂的情绪识别系统和以人为中心的AI的发展.