首页|Data from Harbin Institute of Technology Advance Knowledge in Machine Learning ( Visual Perception Optimization of Residential Landscape Spaces in Cold Regions U sing Virtual Reality and Machine Learning)
Data from Harbin Institute of Technology Advance Knowledge in Machine Learning ( Visual Perception Optimization of Residential Landscape Spaces in Cold Regions U sing Virtual Reality and Machine Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New study results on artificial intell igence have been published. According to news reporting out of Harbin,People's Republic of China,by NewsRx editors,research stated,"The visual perception of landscape spaces between residences in cold regions is important for public hea lth." Financial supporters for this research include National Natural Science Foundati on of China. Our news correspondents obtained a quote from the research from Harbin Institute of Technology: "To compensate for the existing research ignoring the cold snow season's influence,this study selected two types of outdoor landscape space env ironments in non-snow and snow seasons as research objects. An eye tracker combi ned with a semantic differential (SD) questionnaire was used to verify the feasi bility of the application of virtual reality technology,screen out the gaze cha racteristics in the landscape space,and reveal the design factors related to la ndscape visual perception. In the snow season,the spatial aspect ratio (SAR),b uilding elevation saturation (BS),and grass proportion in the field of view (GP ) showed strong correlations with the landscape visual perception scores (W). In the non-snow season,in addition to the above three factors,the roof height di fference (RHD),tall-tree height (TTH),and hue contrast (HC) also markedly infl uenced W. The effects of factors on W were revealed in immersive virtual environ ment (IVE) orthogonal experiments,and the genetic algorithm (GA) and k-nearest neighbor algorithm (KNN) were combined to optimize the environmental factors."
Harbin Institute of TechnologyHarbinPeople's Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine Learni ng
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