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Psychological and Emotional Recognition of Preschool Children Using Artificial Neural Network
Zhangxue Rao1, Jihui Wu1, Fengrui Zhang2
1School of Education, China West Normal University, Nanchong, China.
Insights
Artificial neural networks (ANNs) help understand preschool children's emotion recognition, showing improved ability with age. Early emotion recognition guidance is vital for healthy development and social skills.
Area of Science:
- Developmental Psychology
- Artificial Intelligence
- Cognitive Science
Background:
- Preschool children undergo rapid emotional development, impacting education and social skills.
- Accurate emotion recognition is crucial for healthy psychological growth in early childhood.
- Understanding children's emotional states aids in providing targeted developmental support.
Purpose of the Study:
- To investigate the use of artificial neural networks (ANNs) for analyzing preschool children's psychological emotion recognition.
- To assess the relationship between age and the ability to recognize basic emotions (happiness, calm, fear) in young children.
- To explore the connection between emotion recognition, theory of mind, and cognitive development in preschoolers.
Main Methods:
- Utilized an artificial neural network (ANN) model to construct platforms for measuring human physiological signals.
- Collected and analyzed physiological data corresponding to different psychological and emotional states in children.
- Employed an emotion recognition platform to analyze parameter values for accurate identification of children's emotional states.
Main Results:
- Children aged 4-6 demonstrated increasing ability to recognize happiness, calm, and fear with age.
- Significant age-related differences were observed in the recognition of these basic emotions.
- 4-year-olds showed less proficiency in theory of mind tasks compared to 5- to 6-year-olds, possibly due to cognitive complexity.
Conclusions:
- ANNs provide a viable method for assessing children's psychological emotion recognition and status.
- Age is a significant factor in preschoolers' ability to identify basic emotions.
- Early guidance in emotion recognition is essential for children's overall educational and social development, promoting mental health.
Abstract:
The artificial neural network (ANN) is employed to study children's psychological emotion recognition to fully reflect the psychological status of preschool children and promote the healthy growth of preschool children. Specifically, the ANN model is used to construct the human physiological signal measurement platform and emotion recognition platform to measure the human physiological signals in different psychological and emotional states. Finally, the parameter values are analyzed on the emotion recognition platform to identify the children's psychological and emotional states accurately. The experimental results demonstrate that the recognition ability of children aged 4-6 to recognize the three basic emotions of happiness, calm, and fear increases with age. Besides, there are significant age differences in children's recognition of happiness, calm, and fear. In addition, the effect of 4-year-old children on the theory of mind tasks is less than that of 5- to 6-year-old children, which may be related to more complex cognitive processes. Preschool children are experiencing a stage of rapid emotional development. If children cannot be guided to reasonably identify and deal with emotions at this stage, their education level and social ability development will be significantly affected. Therefore, this study has significant reference value for preschool children's emotional recognition and guidance and can promote children's emotional processing and mental health.
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