Entertainment robots based on internet of things and artificial intelligence in the process of student stress and emotion recognition

Abstract

For different entertainment robot tasks and action requirements, this article adopts multiple control algorithms and optimizes the algorithms. There are certain errors in the movement and interaction process of entertainment robots, which can affect the control effect and user experience of the robots. Therefore, the study models and analyzes the errors of robots by establishing error models, and proposes corresponding correction strategies to correct the errors, thereby improving the control accuracy and reliability of entertainment robots. In terms of identifying and alleviating student stress emotions, multimodal fusion comprehensively utilizes multiple sensors and data sources to obtain emotional information of students, more accurately identifying and understanding their stress emotions. Based on these analysis results, entertainment robots can adopt corresponding relief strategies to help students alleviate stress emotions. By comparing the changes in stress emotions and student feedback before and after the experiment, entertainment robots based on the Internet of Things and artificial intelligence have potential application value in the process of student stress emotion recognition. The remote control system and optimized control effect of robots provide flexibility and efficiency for robot operation. The evaluation results of stress relief effect show that entertainment robots have a positive impact on the relief of student stress emotions.