Study on Person Identification of EEG based on Welch Arithmetic and Wavelet Transforms

التفاصيل البيبلوغرافية
العنوان: Study on Person Identification of EEG based on Welch Arithmetic and Wavelet Transforms
المؤلفون: Derong Jiang, Shaobin Luo
المصدر: INTERNATIONAL JOURNAL ON Advances in Information Sciences and Service Sciences. 3:266-273
بيانات النشر: AICIT, 2011.
سنة النشر: 2011
مصطلحات موضوعية: Signal processing, General Computer Science, Artificial neural network, medicine.diagnostic_test, business.industry, General Mathematics, Speech recognition, Feature extraction, Wavelet transform, Pattern recognition, Electroencephalography, Identity (music), Identification (information), medicine, Artificial intelligence, Arithmetic, business, Multi layer, Mathematics
الوصف: OBJECTIVE: To find a method which establish the identity of given person based on the EEG, and the rates of identification were satisfied. METHOD: Several signal processing methods were proposed to use for feature extraction, such as Welch arithmetic, Wavelet transform, and multi layer BP neural network was used for classification of person identification. RESULT: Satisfactory results were obtain with more than 80 percent identification rate for different participators, and identification of specific frequency was done, where with 21-30Hz of participators was highest in contribution. CONCLUSION: EEG which was proposed to used for person identification could be used by persons with Disabilities and the general public, so it have better adaptation.
تدمد: 2233-9345
1976-3700
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::be064d0949105b3a853fe941693be05c
https://doi.org/10.4156/aiss.vol3.issue9.36
رقم الأكسشن: edsair.doi...........be064d0949105b3a853fe941693be05c
قاعدة البيانات: OpenAIRE