公开(公告)号：US20240335156A1

公开(公告)日：2024-10-10

申请号：US18039286

申请日：2022-11-07

Applicant: SOUTHEAST UNIVERSITY

Inventor： Zhe LI ,  Liya WANG ,  Xiao HAN ,  Futian YUAN ,  Tongyi ZHU ,  Ruoxuan HUANG ,  Ying GAO ,  Yinyin CAO ,  Zheng ZHOU ,  Hengyi ZHAO ,  Jie LI

IPC: A61B5/372 ,  A61B5/00 ,  G06T7/11 ,  G06T7/90 ,  G06V10/56 ,  G06V10/762

CPC classification number: A61B5/372 ,  A61B5/7257 ,  G06T7/11 ,  G06T7/90 ,  G06V10/56 ,  G06V10/762 ,  G06T2207/10024

Abstract: The present disclosure provides a measurement method and system based on image electroencephalogram sensitivity data for a built environment dominant color, and relates to the field of urban quality measurement. The measurement method based on image electroencephalogram sensitivity data for a built environment dominant color includes acquiring electroencephalogram data corresponding to a built environment image sample; calculating an environment dominant color sensitivity on the basis of the electroencephalogram data; extracting a dominant color feature parameter according to the built environment image sample; constructing a built environment dominant color measurement model, and training same by taking sensitivity data and a dominant color feature as an input; and inputting an environment image to be analyzed into a trained model, so as to obtain a predicted dominant color sensitivity result. Therefore, the problems that a prediction effect of a nonlinear model integrating an image color feature and an environment quality is improved.