The aim of the present study was to evaluate the association between participation in physical activity and subjective class identity of people in urban and rural areas of China. The effect of social class identity on residents' physical activity was tested using the Monte Carlo method. There is a positive correlation between physical activity and the subjective class identity of urban and rural residents (r = 0.351, p < 0.01). It has been also seen that subjective class identity can significantly improve residents' physical activity. The path coefficient of subjective class identity to residents' physical activity was 0.12 (p < 0.003). Therefore, national and local governments should promote the equalization of physical activities by providing public services and government transfer payments in urban and rural areas, improve the physical activity by improving subjective class identity and promote social progress.

In order to construct a prediction model of sports economic operation indicators, this paper combines deep learning and ensemble learning algorithms to integrate and improve the algorithms and analyzes the principles of the LightGBM ensemble learning model and the hyperparameters of the model. Moreover, this paper obtains appropriate intelligent algorithms according to the data analysis requirements of sports economic operation. The break-even analysis method of sports event operation is to find the critical point of the program’s profit and loss by analyzing the relationship between the operating cost and profit of the sports event. In addition, this paper uses deep learning and ensemble learning to comprehensively evaluate sports events, constructs a summary evaluation structure of sports items, and evaluates the model in this paper combined with experimental research. The test results verify the reliability of the model in this paper.

In order to improve the effect of copying and recreation of painting works, this paper combines mobile digital multimedia big data technology to improve the image coding algorithm, identify the characteristics of existing works, apply the algorithm to the detailed analysis of painting works, and construct the main functional structure modules of the system. Moreover, this paper combines the existing hardware equipment to construct the painting works’ recreation system and obtains the image processing module. After the system is constructed, the effect of copying and recreating painting works is analyzed through the mobile digital multimedia big data analysis technology. Finally, this paper constructs the system of this paper through simulation methods and uses experiments to calculate the feature recognition effect and copy effect of the painting works of the system. Through experimental analysis, it can be known that the copying and recreation system of painting works based on mobile digital multimedia big data analysis proposed in this paper can help painters effectively improve the effect of recreation.

. With the expansion of the application field of robots and the complexity of the work environment and tasks, ordinary robots and various simple end-holding devices that cooperate with them are far from being able to meet the requirements of various dexterity and fine operation tasks. Immersion means that the process of painting is virtual immersion; the expression requirement for painting must be immersive. This research mainly discusses the posture control algorithm and simulation of dexterous hand in virtual reality painting. The research combines the related theoretical basis of the dexterous hand posture control algorithm with VR painting, and explores the immersive experience characteristics brought by VR immersive painting. This research will focus on the three aspects of the action state pattern recognition based on the surface electromyogram (EMG) signal, the algorithm of the dexterous hand virtual control system, and the simulation of the bionic dexterous hand EMG control system. The collection and processing of the surface EMG signal of the forearm were completed. The experiment verified the effectiveness and accuracy of the surface EMG signal feature extraction, feature dimensionality reduction, and classification algorithm, and realized the pattern recognition of eight action states. Using musculoskeletal simulation software and a finite state machine control model, an intelligent bionic dexterous hand virtual control system was established, which realized offline gesture recognition and performance evaluation of the virtual control system. In the environment of large time delay, many painting experiments were carried out, the tasks were successfully completed, and the average completion time was about 4 min. At this stage, most of the finger structures of dexterous hands are in series, and the accumulated error is large, which greatly affects the accuracy of dexterous hands. VR painting is an innovative form of painting with potential space in the future. The results of this research and exploration can reflect the potential possibilities of future painting creation forms.