Intelligent Psychological Measurement System based on Brain-Computer Interface and Data Analysis

Abstract

In the information age, the demand for talent quality is getting higher and higher. As the successor of promoting social development, the psychological quality of college students has received more attention. In the growth process of college students, the cultivation of college students healthy psychological quality by higher education runs through the whole process of college students study and life. The psychological quality of college students has been paid more and more attention, and many colleges and universities increasingly emphasize the psychological quality and innovation ability of college students, which indicates the importance of improving the psychological quality of contemporary college students. With the popularization and informatization of the network, the storage and processing of massive data has become one of the biggest challenges of the traditional stand-alone mode. Large-scale data volume also puts forward higher requirements on the computing performance of unified database server, such as CPU computing capacity and occupancy, IO bottleneck and so on. The concept of brain-computer interface (BCI) was first proposed by Vidal in the 1970s. This technology aims to establish communication channels between human brain and external devices so as to achieve the purpose of human brain controlling external devices. In this paper, brain-computer interface technology and data analysis model are applied to intelligent psychological testing system.