Quantitative Research Of Landscape Attraction Based On The Principal Component Analysis Model Using EEG

Contemporary landscape architecture research pays close attention to the interactive relationship between psychology and landscape environment.Landscape attraction has become an important evaluation criterion for environmental performance.EEG analysis technology provides a technological innovation for the study of cognitive behavior and psychology in landscape architecture.Based on EEG signal acquisition technology,the research combined the research progress of the "environment-coupling" mechanism of landscape architecture with the landscape attraction.The method constructs a principal component analysis model of the EEG data of the landscape attention degree.It uses the all-mobile EEG data acquisition and analysis system by SPSS to perform the quantitative analysis of the EEG data.The research content includes:(1)Build a virtual simulation experiment platform.Take the digital laboratory of the Landscape Department of Southeast University as the experimental site.The experiment uses curved screen photo projection to create an immersive experimental space.The study form a data collection system,a stimulus presentation system,and data analysis system.(2)Taking Nanjing Xuanwu Lake Park as a research case,the study first extract landscape elements through photos.Then it collected EEG data under the influence of various landscape factors.Through establishing a variable observation system,it integrated the original landscape factors through principal component analysis.After algorithm setting and data analysis,it will obtain the principal component of landscape attraction and its quantitative coupling relationship.(3)Taking Changzhou Xinfu Reservoir as an empirical study,EEG signals were collected in the field environment to determine the nodes with the best landscape resources and the areas with greater landscape attraction.Apply the principal component analysis theoretical model to landscape design,consider the principal component landscape influence factors,carry out the EEG feedback analysis of the design results,and verify the feasibility of the theoretical model.The research results show that color richness,spatial integration,water morphology change,material diversity,community richness and facility integrity contribute the most to landscape attraction,and there is a positive correlation between landscape attraction and the types of landscape factors.The research results provide a landscape attention analysis technology for the quantitative description of landscape psychology,as well as a special analysis technology of landscape attention degree that can be referred to and has development potential for in-depth research and practical application in related fields.