Application of Machine and Deep Learning Techniques to Facial Emotion Recognition in Infants
Infant facial expression recognition is one of the most significant areas of research in the field of computer vision and surveillance parental care. It is essential for both the early diagnosis of medical conditions and intelligent interpersonal interactions. Despite recent improvements in face det...
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| Autores principales: | , , , , |
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| Formato: | Capítulo de libro |
| Lenguaje: | inglés |
| Publicado: |
IntechOpen
2023
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| Materias: | |
| Acceso en línea: | https://www.intechopen.com/chapters/85877 |
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| Sumario: | Infant facial expression recognition is one of the most significant areas of research in the field of computer vision and surveillance parental care. It is essential for both the early diagnosis of medical conditions and intelligent interpersonal interactions. Despite recent improvements in face detection, feature extraction techniques, and expression categorization methods, it is still difficult to develop an automated system employing deep learning methods that achieves the goal of recognizing infant emotions. The prime aim of this chapter is to present a comprehensive framework for recognizing infant emotions using machine learning and deep learning algorithms on the dataset for infant emotions currently accessible. The proposed model directs future research on early detection of infant emotions and has the ability to identify emotional-related medical problems. This article will incorporate the findings on infant emotion recognition required to address the parental supervision and enhance intelligent interpersonal relationships. |
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| ISBN: | 978-1-83768-577-6 |
| DOI: | 10.5772/intechopen.109725 |