Feature Extraction and Intelligent Generation of Spatial Environment Design Combined with Deep Learning

In this paper, MATLAB graphical user interface is used to complete the virtual monitoring and analysis experiment in the living environment. Through MATLAB Web server, a set of space environment virtual monitoring and analysis experiment system based on MATLAB and Web is formed. A feature extraction algorithm of saccade signal based on common spatial pattern (CSP) is proposed. This filter is used to filter the multi-guide eye movement signal in the spatial domain, and it is used as the characteristic parameter of the scanning signal. Through the test platform, users can easily browse and monitor the parameters of the living environment, and perform the corresponding physical property parameters calculation and prediction as needed. This is convenient and fast, and greatly improves the efficiency of monitoring and analysis of the living environment. At the same time, the required space environment parameters or physical property data can be displayed intuitively on the interface, which is simple and fast, and can greatly improve the efficiency of monitoring and analysis.