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2169578 |
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|a eng
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| 044 |
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|b العراق
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| 100 |
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|9 752402
|a Jelab, Rasha Ahmed
|e Author
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| 245 |
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|a The Role of Artificial Intelligence in EEG Biometric Recognition
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| 260 |
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|b الجمعية العلمية للدراسات التربوية المستدامة
|c 2023
|m 1445
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| 300 |
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|a 575 - 594
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| 336 |
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|a بحوث ومقالات
|b Article
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| 520 |
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|b Artificial Intelligence technology is invading human life with its numerous leverages. Like all other fields, EEG biometric recognition also adopted AI tools and techniques to enhance subject identification. The role of AI in EEG biometric recognition is widespread, covering identification, authentication, and administrative features. In this research, we carefully discuss the role of AI in EEG biometric recognition. We discussed the superior AI technologies and briefly described each that can play a vital role in biometric recognition. Combining brain science research with artificial intelligence technology makes the brain's electrical Characteristics expected to become new biometrics in identification. Exploiting brain signals for biometric recognition has received significant attention from the scientific community in the last decade, with most of the efforts so far devoted to the quest for discriminative information within electroencephalography (EEG) recordings. Biometric recognition systems are nowadays deployed in many real-life applications, ranging from border control to verification on a mobile device. Although several biometric traits have already achieved the plateau of their productivity, such as EEG signals, fingerprints, and iris, prominent research is still carried out to design innovative recognition systems, relying on other characteristics that may possess useful properties not available in mainstream solutions. In this regard, cognitive biometrics are used in addition to using physical or behavioural traits. The need for a biometric is incontrovertible. Additional requirements for a biometric system are security, capability of meeting reliability, accuracy and adaption standards. Authentication would require a living cooperative person, as opposed to inanimate records that can be forged or passive biometric identifiers that can be extracted from someone who is forced or even dead. The biometric system measures individuals' unique physical or behavioural characteristics to recognize or authenticate their identity.
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| 653 |
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|a الذكاء الاصطناعي
|a القياسات الحيوية
|a الدماغ الحاسوبية
|a تخطيط كهربية الدماغ
|a الصور الحركية
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| 692 |
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|b Artificial intelligence
|b Brain-Computer Interface "BCI"
|b Biometric
|b Electroencephalography "EEG"
|b Motor Imagery
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| 700 |
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|9 752404
|a Abdlwahab, Zadoon Tark
|e Co-Author
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| 773 |
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|4 التربية والتعليم
|6 Education & Educational Research
|c 024
|e Journal of Sustainable Studies
|f Mağallaẗ al-dirāsāt al-mustadāmaẗ
|l 990
|m مج5, ملحق
|o 2053
|s مجلة الدراسات المستدامة
|v 005
|x 2663-2284
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| 856 |
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|u 2053-005-990-024.pdf
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| 930 |
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|d y
|p y
|q y
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| 995 |
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|a EduSearch
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| 999 |
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|c 1421835
|d 1421835
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