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相关概念视频

Muscles for Facial Expressions01:14

Muscles for Facial Expressions

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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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Prosopagnosia01:24

Prosopagnosia

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Prosopagnosia, also known as face blindness, is the inability to recognize faces. In severe cases, individuals with prosopagnosia may not recognize close family members, including parents and spouses, by their faces. For instance, someone with prosopagnosia might walk past their child in a crowd, only realizing their mistake upon noticing their child's distinctive backpack or favorite jacket. Prosopagnosia specifically impairs facial recognition, while the recognition of other objects or...
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相关实验视频

Updated: Jun 15, 2025

Single-stage Dynamic Reanimation of the Smile in Irreversible Facial Paralysis by Free Functional Muscle Transfer
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Single-stage Dynamic Reanimation of the Smile in Irreversible Facial Paralysis by Free Functional Muscle Transfer

Published on: March 1, 2015

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基于人工智能的面部评估:一项调查

Yating Zhang, Weixiang Gao, Hui Yu

    IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
    |August 22, 2024
    PubMed
    概括

    人工智能 (AI) 提供面部评估的客观方法,改进了主观的临床判断. 本次调查回顾了基于人工智能的FPE系统,指导未来的研究以实现现实世界的应用.

    科学领域:

    • 医疗成像医学成像
    • 人工智能的人工智能
    • 康复医学 康复医学 康复医学

    背景情况:

    • 面部评估 (FPE) 传统上依赖于主观的临床判断,限制一致性和客观性.
    • 人工智能 (AI) 为开发自动化和客观的FPE系统提供了一个有希望的途径.
    • 人工智能技术的进步有可能显著改善面部功能治疗和康复结果.

    研究的目的:

    • 提供基于人工智能的最先进面部评估 (FPE) 方法的系统审查.
    • 引导研究人员在临床实践中开发和应用自动FPE系统.
    • 为了确定当前的挑战和未来的研究方向在AI驱动的FPE.

    主要方法:

    • 自2008年以来,对基于AI的FPE出版物的综合文献综述.
    • 总结了FPE系统的一般管道.
    • 在FPE中使用的公共数据库,评估指标和预处理技术的概述.

    主要成果:

    • 对FPE应用的最先进的AI技术的详细概述.
    • 确定现有的公共数据集和标准的客观评估指标.
    • 对基于AI的FPE至关重要的预处理方法的分析.

    更多相关视频

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    Protocol for Data Collection and Analysis Applied to Automated Facial Expression Analysis Technology and Temporal Analysis for Sensory Evaluation
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    Protocol for Data Collection and Analysis Applied to Automated Facial Expression Analysis Technology and Temporal Analysis for Sensory Evaluation

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    相关实验视频

    Last Updated: Jun 15, 2025

    Single-stage Dynamic Reanimation of the Smile in Irreversible Facial Paralysis by Free Functional Muscle Transfer
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    A Protocol for Comprehensive Assessment of Bulbar Dysfunction in Amyotrophic Lateral Sclerosis ALS
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    Protocol for Data Collection and Analysis Applied to Automated Facial Expression Analysis Technology and Temporal Analysis for Sensory Evaluation
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    Protocol for Data Collection and Analysis Applied to Automated Facial Expression Analysis Technology and Temporal Analysis for Sensory Evaluation

    Published on: August 26, 2016

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    结论:

    • 基于人工智能的FPE显示出克服传统主观方法的局限性的巨大潜力.
    • 需要进一步的研究来应对当前的挑战,并促进自动化FPE的现实世界临床应用.
    • 这项调查为研究人员在面部评估中推进人工智能的研究提供了基础资源.