Automatic Movement Recognition for Evaluating the Gross Motor Development of Infants

Automatic Movement Recognition for Evaluating the Gross Motor Development of Infants

Objective: The objective of this study was to early-detect gross motor abnormalities through video detection in Taiwanese infants aged 2–6 months. Background: The current diagnosis of infant developmental delays primarily relies on clinical examinations. However, during clinical visits, infants may...

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Bibliographic Details
Main Authors: Yin-Zhang Yang, Jia-An Tsai, Ya-Lan Yu, Mary Hsin-Ju Ko, Hung-Yi Chiou, Tun-Wen Pai, Hui-Ju Chen
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Children
Subjects:
developmental delay
pose estimation
transfer learning
machine learning
Online Access:https://www.mdpi.com/2227-9067/12/3/310
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