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

Facial Feedback Hypothesis01:24

Facial Feedback Hypothesis

594
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...
594
Muscles for Facial Expressions01:14

Muscles for Facial Expressions

4.7K
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...
4.7K

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

Early Emergence of Spontaneous Trait Content in Children's Unconstrained Impressions of Faces.

Developmental science·2026
Same author

The sound of emergency: The role of vocal cues in healthcare.

Social science & medicine (1982)·2025
Same author

People calibrate future expectations to past performance when predicting transparently random events.

PNAS nexus·2025
Same author

Feature-based encoding of face identity by single neurons in the human amygdala and hippocampus.

Nature human behaviour·2025
Same author

Face evaluation: Findings, methods, and challenges.

Annals of the New York Academy of Sciences·2025
Same author

Individualized models of social judgments and context-dependent representations.

Scientific reports·2025

相关实验视频

Updated: Jan 17, 2026

An Electrophysiology Protocol to Measure Reward Anticipation and Processing in Children
05:04

An Electrophysiology Protocol to Measure Reward Anticipation and Processing in Children

Published on: October 4, 2018

7.3K

捕捉儿童脸部的变化:一个人造的,但现实的,面部刺激集.

Sophia M Thierry1, Stefan Uddenberg2, Daniel Albohn3

  • 1Department of Psychology, Brock University, St. Catharines, ON, Canada.

Frontiers in psychology
|September 18, 2025
PubMed
概括

一个新的数据集由500个人工儿童面孔组成,年龄和种族各异. 本资源解决了当前研究数据库中儿童脸部代表性不足的问题.

关键词:
人工面部生成 人工面部生成孩子们的孩子们的孩子们的孩子们.这些都是情绪,情绪.这些都是表达方式的表达方式.面对面的数据库数据库.

更多相关视频

Cortical Source Analysis of High-Density EEG Recordings in Children
09:32

Cortical Source Analysis of High-Density EEG Recordings in Children

Published on: June 30, 2014

21.9K
Gaze in Action: Head-mounted Eye Tracking of Children's Dynamic Visual Attention During Naturalistic Behavior
07:09

Gaze in Action: Head-mounted Eye Tracking of Children's Dynamic Visual Attention During Naturalistic Behavior

Published on: November 14, 2018

11.4K

相关实验视频

Last Updated: Jan 17, 2026

An Electrophysiology Protocol to Measure Reward Anticipation and Processing in Children
05:04

An Electrophysiology Protocol to Measure Reward Anticipation and Processing in Children

Published on: October 4, 2018

7.3K
Cortical Source Analysis of High-Density EEG Recordings in Children
09:32

Cortical Source Analysis of High-Density EEG Recordings in Children

Published on: June 30, 2014

21.9K
Gaze in Action: Head-mounted Eye Tracking of Children's Dynamic Visual Attention During Naturalistic Behavior
07:09

Gaze in Action: Head-mounted Eye Tracking of Children's Dynamic Visual Attention During Naturalistic Behavior

Published on: November 14, 2018

11.4K

科学领域:

  • 计算机视觉 计算机视觉
  • 发展心理学 发展心理学
  • 人与计算机的交互

背景情况:

  • 现有的儿童面部数据集在规模和多样性上是有限的.
  • 儿童脸部的代表性不足阻碍了发展心理学和人工智能的研究.
  • 需要对儿童脸部进行全面和多样化的数据集.

研究的目的:

  • 创建一个新的,大规模的,和各种数据集的人工儿童的脸.
  • 为涉及儿童脸部的实验研究提供一个有价值的资源.
  • 在面部图像数据库中增强年龄和种族的多样性.

主要方法:

  • 利用深度神经网络生成500个合成,现实的儿童面部图像.
  • 确保跨年龄 (3-10岁) 和15个不同的种族群体的多样性.
  • 收集了585名成年参与者的评分,以验证年龄,性别,种族和情感感知.

主要成果:

  • 生成的数据集包括500个多样化的人造儿童面孔.
  • 成年参与者成功地确定了合成面部的关键属性 (年龄,性别,种族,情感).
  • 数据集在特定的人口变量中显示了代表性.

结论:

  • 这一新型数据集为需要儿童面部图像的研究提供了重大进展.
  • 在开放科学框架上公开的可用性促进了更广泛的科学访问和利用.
  • 该资源可以支持面部识别,发育研究和AI偏见缓解等领域的研究.