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METHOD OF IDENTIFICATION OF A HUMAN APPROACH ON EEG RESPONSE TO MIXED IMAGES

机译:识别人脑对混合图像的反应的方法

摘要

The invention relates to the biometric identification and authentication of a person and can be used in systems to restrict access to protected objects, in training systems and electronic document management, in electronic passports and identity cards. A method of identifying a person by an EEG response to ambiguous images consists of identifying individual reactions to various stimuli using electroencephalogram (EEG), so-called ambiguous images, such as Necker's cubes, are used as incentives for identifying a person to his full EEG-portrait, which is stored in the database and used as a reference for further identification; artificial neural networks are used as recognition algorithms. The technical result is an experimentally verified correct identification of one operator out of two or more in 99% of cases, which proves the performance, reliability and high efficiency of the proposed method when using a small set of relatively simple incentives - Necker's cubes. Reducing the number of incentives leads to a decrease in the required time for the implementation of the method.
机译:本发明涉及人的生物特征识别和认证,并且可以在用于限制对受保护对象的访问的系统中,在训练系统和电子文件管理中,在电子护照和身份证中使用。一种通过脑电图对模糊图像的反应来识别人的方法,包括使用脑电图(EEG)识别对各种刺激的个体反应,所谓的模糊图像(例如内克立方体)被用作激励人,以识别其对完整脑电图的动机-肖像,存储在数据库中,用作进一步识别的参考;人工神经网络被用作识别算法。技术结果是在99%的情况下,通过实验验证了对两个或多个操作员中的一个操作员的正确识别,这证明了在使用少量相对简单的奖励措施-Necker's cubes时,所提出方法的性能,可靠性和高效率。减少激励措施的数量导致减少了实施该方法所需的时间。

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