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

机译:基于大数据和基于AI的颜色识别测量平台和使用相同的方法

摘要

The present invention includes the steps of receiving, by a data receiving unit, information including symptoms of a plurality of subjects through communication from terminals of a plurality of subjects; calculating, by the data processing unit, the information on the subject each provided by the data receiving unit as symptom group statistics; With respect to the colors provided from the terminals of the plurality of subjects, the data processing unit receives each subject''s selection information according to the same, similarity, and difference through the data receiving unit, and the color selection pattern through data mining based and clustering application extracting; classifying the selection pattern for each symptom group by applying the color selection pattern by the machine learning technique by the data processing unit; detecting psychological abnormal factors through the symptom group selection pattern by the data processing unit and grouping the patterns; and estimating and predicting, by the data processing unit, the probability of a symptom group belonging group according to individual measurement; to a big data and artificial intelligence-based color perception measurement method and a color perception measurement platform used therefor, including a. According to the present invention, by applying data-based probability and statistical techniques to color selection of subjects, clustering and clustering analysis based on selection patterns is promoted, and similar grouping according to disease and patient characteristics in the field of psychiatry, psychological state of subjects to enable extraction.
机译:本发明包括通过数据接收单元接收包括通过从多个对象的端子的通信的通信包括多个受试者的信息的信息;通过数据处理单元计算关于数据接收单元作为症状组统计数据的主题的信息;关于从多个受试者的终端提供的颜色,数据处理单元根据数据接收单元的相同,相似性和差异接收每个受试者的选择信息,以及通过数据挖掘的颜色选择模式基于和聚类应用提取;通过通过数据处理单元应用机器学习技术来分类每个症状组的选择模式;通过数据处理单元通过症状组选择模式检测心理异常因素并对图案进行分组;通过数据处理单元估计和预测,通过数据处理单元根据个体测量的症状组属性组的概率;基于大数据和基于人工智能的颜色感知测量方法和用于其的颜色感知测量平台,包括a。根据本发明,通过将基于数据的概率和统计技术应用于颜色选择对象的颜色选择,基于选择模式的聚类和聚类分析被促进,并且根据精神病学,心理状态的疾病和患者特征的类似分组使提取的受试者。

著录项

  • 公开/公告号KR102351169B1

    专利类型

  • 公开/公告日2022-01-14

    原文格式PDF

  • 申请/专利权人

    申请/专利号KR1020190121625

  • 申请日2019-10-01

  • 分类号G16H20/70;A61B5;A61B5/16;G16H50/30;

  • 国家 KR

  • 入库时间 2022-08-24 23:27:36

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