Occupational Therapy Practice Based on New-Generation Information Technology for Employee Emotion Analysis and...

This work intends to combine neural network technology with occupational therapy to fully acquire employees' emotional information by constructing an effective emotion recognition network. Firstly, the psychological state of employees is discussed from three aspects of leadership narcissism, organizational identification, and the emotional contagion effect, and the corresponding model is implemented. Secondly, based on the convolutional neural network technology, the facial feature recognition and the body feature recognition are combined, and the employees' emotions can be accurately identified by establishing a multilearning emotion recognition network. Finally, a questionnaire survey is carried out on the employees of enterprises in the coastal areas of Zhejiang. Descriptive statistical analysis, reliability and validity analysis, correlation analysis, regression analysis, mediation effect tests, and other methods are used to analyze the questionnaire data. The results reveal that leadership narcissistic organizational identification plays a mediating role in the process of employees' emotional contagion perception affecting employees' psychology. Compared with younger employees, older employees have better psychological quality and mental health. There are also significant differences in emotion and work enthusiasm among employees with different educational backgrounds and positions. Employees' perception of emotional contagion to pretending expressions, indifferent expressions, contempt expressions, and sincere expressions has an obvious positive impact on the psychological impact of other employees. The classification accuracy and regression error rate of the constructed multilearning emotion recognition network are 28.5% and 9.8%, respectively, which can accurately identify the emotional performance of employees. This work helps enterprises better understand the mental health of their employees.