Design and Research of an Intelligent Assessment System for Children's Social and Emotional Competence in the Delayed Gratification Game

Social-emotional competence is one of the core abilities for talent cultivation in the 21st century. By observing, recording and scoring the special behaviors of young children during the game, we can make a preliminary assessment of their emotional abilities. Taking the delayed gratification game as an example, our study developed a dedicated integrated system and proposed an auxiliary evaluation method for young children's emotional behaviors intelligent recognition and identity matching in the video. Based on real data, the human skeleton and environmental information are used to complete the recognition and evaluation of specific actions, and the facial recognition module is used to authenticate the identity of the child. This study experimentally demonstrated the feasibility of the integrated system and proved that the intelligent evaluation method has a certain consistency with the traditional manual evaluation. It can be used to complete the real-time monitoring task of young children's behavior in the delayed gratification game video, providing potential value for the subsequent application of digital tools in structured game scenarios.