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Updated: Jul 18, 2026

A Novel Experimental and Analytical Approach to the Multimodal Neural Decoding of Intent During Social Interaction in Freely-behaving Human Infants
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用于自闭症查的模两可的面部表情检测,使用增强的YOLOv7微型模型

Akhil Kumar1, Ambrish Kumar1, Dushantha Nalin K Jayakody2,3

  • 1School of Computer Science Engineering and Technology, Bennett University, Greater Noida, India.

Scientific reports
|November 18, 2024
PubMed
概括

这项研究引入了一种新的方法,用于检测儿童使用面部特征的自闭症谱系障碍 (ASD). 改进的YOLOv7微型模型准确地识别了与自闭症相关的面部特征,有助于早期诊断.

关键词:
模两可的表达方式自闭症谱系障碍 自闭症谱系障碍深度学习是一种深度学习.面部表情 面部表情这是一个YOLO YOLO.

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