在补充养期间婴儿的AI面部情绪分析:对母亲和婴儿影响的描述性研究
Murat Gülşen1, Beril Aydın2, Güliz Gürer3
1Autism, Special Mental Needs and Rare Diseases Department, Turkish Ministry of Health, Ankara 06800, Turkey.
Nutrients
|October 16, 2025
概括
母婴的特征,而不是食物类型,在补充养期间显著影响婴儿的情绪. 人工智能面部分析为婴儿发育和养行为提供了客观的见解.
科学领域:
- 发展心理学 发展心理学
- 婴儿营养 婴儿营养
- 计算语言学 计算语言学
背景情况:
- 在补充养期间婴儿的情绪反应对于了解早期发育和养行为至关重要.
- 人工智能驱动的面部情绪分析为量化婴儿表情提供了客观的方法.
- 了解这些情绪可以为儿童早期营养干预提供信息.
研究的目的:
- 研究母亲和婴儿特征在补充养期间对婴儿情绪反应的影响.
- 使用自动化面部分析工具来量化婴儿的情绪.
- 确定与情绪反应相关的特定的母亲 (BMI,教育,工作状态) 和婴儿 (年龄,性别,食开始) 因素.
主要方法:
- 一项多中心研究涉及117名婴儿 (6-11个月) 和他们的母亲.
- 标准化养会话被记录并使用OpenFace软件分析了六种情绪.
- 用通用估计方程来分析与母亲和婴儿特征的关联.
主要成果:
- 婴儿的情绪反应在不同食物组之间没有显著差异.
- 母亲的BMI>30 kg/m2与婴儿惊喜增加有关.
- 母亲的教育和非工作状态与婴儿幸福感的增加相关;年长的婴儿和早期养者表现出更多的愤怒.
结论:
- 母婴人口因素对婴儿在补充养期间的情绪反应的影响比食物类型更大.
- 整合心理社会变量对于早期养实践至关重要.
- 人工智能驱动的面部情绪分析显示了促进婴儿发育研究的前景.
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