EA201800121A2 - METHOD OF IDENTIFICATION OF A HUMAN APPROACH ON EEG RESPONSE TO MIXED IMAGES - Google Patents

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

Info

Publication number
EA201800121A2
EA201800121A2 EA201800121A EA201800121A EA201800121A2 EA 201800121 A2 EA201800121 A2 EA 201800121A2 EA 201800121 A EA201800121 A EA 201800121A EA 201800121 A EA201800121 A EA 201800121A EA 201800121 A2 EA201800121 A2 EA 201800121A2
Authority
EA
Eurasian Patent Office
Prior art keywords
identification
eeg
incentives
person
identifying
Prior art date
Application number
EA201800121A
Other languages
Russian (ru)
Other versions
EA033533B1 (en
EA201800121A3 (en
Inventor
Александр Николаевич Писарчик
Вячеслав Юрьевич Мусатов
Анастасия Евгеньевна Руннова
Светлана Вячеславовна Пчелинцева
Александр Евгеньевич Храмов
Original Assignee
Федеральное государственное бюджетное образовательное учреждение высшего образования "Саратовский государственный технический университет имени Гагарина Ю.А." (СГТУ имени Гагарина Ю.А.)
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Федеральное государственное бюджетное образовательное учреждение высшего образования "Саратовский государственный технический университет имени Гагарина Ю.А." (СГТУ имени Гагарина Ю.А.) filed Critical Федеральное государственное бюджетное образовательное учреждение высшего образования "Саратовский государственный технический университет имени Гагарина Ю.А." (СГТУ имени Гагарина Ю.А.)
Publication of EA201800121A2 publication Critical patent/EA201800121A2/en
Publication of EA201800121A3 publication Critical patent/EA201800121A3/en
Publication of EA033533B1 publication Critical patent/EA033533B1/en

Links

Classifications

    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316—Modalities, i.e. specific diagnostic methods
    • A61B5/369—Electroencephalography [EEG]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
    • G06V30/10—Character recognition
    • G06V30/19—Recognition using electronic means
    • G06V30/192—Recognition using electronic means using simultaneous comparisons or correlations of the image signals with a plurality of references
    • G06V30/194—References adjustable by an adaptive method, e.g. learning
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L9/00—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols
    • H04L9/32—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols including means for verifying the identity or authority of a user of the system or for message authentication, e.g. authorization, entity authentication, data integrity or data verification, non-repudiation, key authentication or verification of credentials

Abstract

Изобретение относится к биометрической идентификации и аутентификации человека и может быть использовано в системах ограничения доступа на охраняемые объекты, в системах обучения и электронного документооборота, в электронных паспортах и удостоверениях личности. Способ идентификации человека по ЭЭГ-отклику на неоднозначные изображения заключается в идентификации индивидуальных реакций на различные стимулы с помощью электроэнцефаллограмм (ЭЭГ), в качестве стимулов для идентификации человека использованы так называемые неоднозначные изображения, например кубы Неккера, предъявление небольшого набора которых идентифицируемому человеку позволяет получить достаточно полный его ЭЭГ-портрет, который запоминается в базе данных и используется как эталон при дальнейшей идентификации; в качестве алгоритмов распознавания используются искусственные нейронные сети. Техническим результатом является экспериментально проверенная правильная идентификация одного оператора из двух или нескольких в 99% случаев, что доказывает работоспособность, надежность и высокую эффективность предложенного способа при использовании небольшого набора относительно простых стимулов - кубов Неккера. Сокращение количества стимулов приводит к уменьшению необходимого времени реализации способа.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 implementation of the method.

EA201800121A 2017-05-02 2018-02-27 Method of person identification by eeg-response to ambiguous images EA033533B1 (en)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
RU2017115459A RU2653239C1 (en) 2017-05-02 2017-05-02 Method of person identification by eeg-response to ambiguous images

Publications (3)

Publication Number Publication Date
EA201800121A2 true EA201800121A2 (en) 2018-12-28
EA201800121A3 EA201800121A3 (en) 2019-03-29
EA033533B1 EA033533B1 (en) 2019-10-31

Family

ID=62105640

Family Applications (1)

Application Number Title Priority Date Filing Date
EA201800121A EA033533B1 (en) 2017-05-02 2018-02-27 Method of person identification by eeg-response to ambiguous images

Country Status (2)

Country Link
EA (1) EA033533B1 (en)
RU (1) RU2653239C1 (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110279415A (en) * 2019-07-01 2019-09-27 西安电子科技大学 Image fault threshold coefficient estimation method based on EEG signals

Family Cites Families (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
RU2292079C2 (en) * 2005-02-02 2007-01-20 Федеральное государственное унитарное предприятие "ПЕНЗЕНСКИЙ НАУЧНО-ИССЛЕДОВАТЕЛЬСКИЙ ЭЛЕКТРОТЕХНИЧЕСКИЙ ИНСТИТУТ" (ФГУП "ПНИЭИ") Method for human identification by his biometrical image
EP1892674A1 (en) * 2006-08-23 2008-02-27 Siemens Aktiengesellschaft Brain pattern based access control system
KR100866215B1 (en) * 2006-12-20 2008-10-30 삼성전자주식회사 Method for operating a terminal using brain wave and appartus thereof
US8065529B2 (en) * 2007-05-21 2011-11-22 Ut-Battelle, Llc Methods for using a biometric parameter in the identification of persons
AU2013100576A4 (en) * 2013-04-23 2013-06-06 Huang, Xu PROF Human Identification with Electroencephalogram (EEG) for the Future Network Security
US10318833B2 (en) * 2015-01-16 2019-06-11 Puneet Agarwal System and method for person identification and personality assessment based on EEG signal

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110279415A (en) * 2019-07-01 2019-09-27 西安电子科技大学 Image fault threshold coefficient estimation method based on EEG signals

Also Published As

Publication number Publication date
EA033533B1 (en) 2019-10-31
RU2653239C1 (en) 2018-05-07
EA201800121A3 (en) 2019-03-29

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MM4A Lapse of a eurasian patent due to non-payment of renewal fees within the time limit in the following designated state(s)

Designated state(s): AM AZ KG TJ TM

MM4A Lapse of a eurasian patent due to non-payment of renewal fees within the time limit in the following designated state(s)

Designated state(s): KZ RU