###### Abstract  
As an effective solution for data visualization and analysis, the large-scale high-resolution display wall system has been widely used in various scientific research fields. On the basis of investigating existing system cases and research results, this paper introduces the SHU-VAS system (60 screens, 120 megapixels) for data visualization and analysis. In order to improve the efficiency of human-computer interaction in large-scale high-definition display wall systems, we propose an interaction framework based on gesture and double-precision pointing technology. During the interaction process, an adaptive mode switching method based on user action features is used to switch between rough and precise control modes. In the evaluation experiments, we analyzed the characteristics of different interaction methods in movement and navigation interaction tasks, and verified the effectiveness of the gesture-based interaction framework proposed in this paper.  
display wall system; human-  
efficiency. In recent years, with the development of sensors and artificial intelligence technology, gesture-based interaction technology has gradually become a hot spot in the field of human-computer interaction research in display wall systems. Although many research works have successfully implemented gesture-based human-computer interaction in display wall systems, work comparing gesture interaction with other interaction methods in different types of interaction tasks is relatively rare. It is therefore difficult to evaluate the superiority of gesture-based interaction methods. To solve these problems, the main work of this paper is:  
1. On the basis of fully investigating the characteristics of typical display wall systems in the past, we designed and implemented an interactive high-resolution display wall system SHU-VAS (60 screens, 120 megapixels) for visual analysis of big data.
2. A general human-computer interaction framework for large-scale high-resolution display wall systems is proposed, which uses gesture-based adaptive double-precision interaction technology to achieve efficient human-computer interaction.
3. We designed different types of evaluation experiments to compare the human-computer interaction method proposed in this paper with other interaction methods, and verified the effectiveness of the human-computer interaction framework proposed in this paper.  
The organizational structure of the following parts of this paper is as follows: Section 2 introduces the development of the current high- resolution display wall system research and human-computer interaction methods in detail, and summarizes the main field of research on current high-definition display wall systems. Section 3 introduces the system structure of SHU-VAS. Section 4 introduces the human-computer interaction framework proposed in this paper. Section 5 introduces the adaptive double-precision gesture interaction method in the human-computer interaction framework. Section 6 designs and implements two types of evaluation experiments to verify the effectiveness of the human-computer interaction framework in this paper. Section 7 summarizes the work of this paper and presents future work plans.