High Precision Infant Facial Expression Recognition by Improved YOLOv8
Objective
The objective of this study is to develop a high-precision infant facial expression recognition system using an improved YOLOv8 model for accurate and real-time detection. The proposed enhancements aim to optimize feature extraction and localization performance to handle subtle facial variations in infants. The system seeks to improve recognition accuracy and robustness for applications in healthcare monitoring and early emotional assessment.
Paper Publishing
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