Big data and AI-based color recognition measurement platform and method using the same

摘要

The present invention comprises the steps of receiving information including symptoms for a subject through communication from a plurality of terminals of the subject, respectively, by a data receiving unit; Calculating, by a data processing unit, information on the subject, each provided by the data receiving unit, as symptom group statistics; The data processing unit receives the selection information of each subject according to the same, similarity, and difference with respect to the colors provided from the terminals of the plurality of subjects, respectively, through the data receiving unit, and provides a color selection pattern through data mining-based and clustering application. Extracting; Classifying a selection pattern for each symptom group by applying a color selection pattern using a machine learning technique by the data processing unit; Detecting a psychological abnormality factor through the symptom group selection pattern by the data processing unit and grouping the patterns; And estimating and predicting the probability of a group attributable to symptom groups according to individual measurements by the data processing unit, and a method for measuring color perception based on big data and artificial intelligence, and a color perception measuring platform used therefor. According to the present invention, by applying data-based probability and statistical techniques to color selection of subjects, clustering cluster analysis based on selection patterns is pursued, and similar grouping according to disease and patient characteristics in the field of psychiatry, and psychological state of subjects. Make extraction possible.