Support Vector Machine Based Extraction of Crime Information in Human Brain Using ERP Image
| Autor: | Deba Prasad Dash, Priti N. Patil, Maheshkumar H. Kolekar |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
021110 strategic
defence & security studies medicine.diagnostic_test business.industry Computer science 0211 other engineering and technologies 020206 networking & telecommunications Pattern recognition Cognition 02 engineering and technology Human brain Stimulus (physiology) Electroencephalography Support vector machine medicine.anatomical_structure Event-related potential Support vector machine classifier Radial basis function kernel 0202 electrical engineering electronic engineering information engineering medicine Artificial intelligence business |
| Zdroj: | Advances in Intelligent Systems and Computing ISBN: 9789811021060 CVIP (2) |
| DOI: | 10.1007/978-981-10-2107-7_15 |
| Popis: | Event related potential (ERP) is a non-invasive way to measure person’s cognitive ability or any neuro-cognitive disorder. Familiarity with any stimulus can be indicated by the brain’s instantaneous response to that particular stimulus. In this research work ERP based eye witness identification system is proposed. Electroencephalogram (EEG) signal was passed through butterworth band-pass filter and EEG signal was segmented based on marker. EEG segments were averaged and ERP was extracted from EEG signal. Grey incidence degree based wavelet denoising was performed. ERP was converted to image form and structural similarity index feature was extracted. Radial basis function kernel based support vector machine classifier was used to classify a person with or without crime information. The observed accuracy of proposed approach was 87.50 %. |
| Databáze: | OpenAIRE |
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