首页> 外国专利> EEG HUMAN EMOTION STATE RECOGNITION METHOD AND SYSTEM USING FUSION OF IMAGE AND EEG SIGNALS

EEG HUMAN EMOTION STATE RECOGNITION METHOD AND SYSTEM USING FUSION OF IMAGE AND EEG SIGNALS

机译:利用图像和脑电信号融合的脑电人类状态识别方法及系统

摘要

Disclosed is a method and system for recognizing a human emotional state using image and EEG signal fusion. The emotion recognition method performed by the emotion recognition system according to an embodiment is to construct a convergence network that fuses feature information extracted from the video signal and the electrical biometric signal through a modality network for each of the video signal and the electrical biometric signal. step; Each weight for the balance data output through the modality network for each of the video signal and the electrical bio-signal based on each reliability determined using the feature information of the video signal and the electrical bio-signal in the constructed converged network. Determining; And outputting a final balance value as output data by reflecting each weight determined for the output balance data, wherein the emotion recognition method includes: a modality network for the video signal, and an electrical biosignal for the signal. The modality network and the convergence network may be separately learned.
机译:公开了一种使用图像和EEG信号融合来识别人的情绪状态的方法和系统。由根据实施例的情感识别系统执行的情感识别方法是构建会聚网络,该会聚网络通过针对每个视频信号和电生物特征信号的模态网络将从视频信号和电生物特征信号提取的特征信息融合。步;基于在构造的融合网络中使用视频信号和电生物信号的特征信息确定的每个可靠性,通过模态网络针对视频信号和电生物信号中的每个输出的平衡数据的每个权重。决定;并且通过反映针对输出平衡数据确定的每个权重来输出最终平衡值作为输出数据,其中,情绪识别方法包括:用于视频信号的模态网络和用于该信号的电生物信号。可以分别学习模态网络和会聚网络。

著录项

  • 公开/公告号KR20200071807A

    专利类型

  • 公开/公告日2020-06-22

    原文格式PDF

  • 申请/专利权人 인하대학교 산학협력단;

    申请/专利号KR20180151892

  • 发明设计人 송병철;최동윤;

    申请日2018-11-30

  • 分类号A61B5/16;A61B5/0402;G06K9;G06K9/48;G06N3/08;

  • 国家 KR

  • 入库时间 2022-08-21 11:06:43

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