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ISSN : 1226-9654

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Vol.30 No.4

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Support Vector Machine(SVM)-based classification of eyewitness memory using single-trial EEG

The Korean Journal of Cognitive and Biological Psychology / The Korean Journal of Cognitive and Biological Psychology, (P)1226-9654; (E)2733-466X
2018, v.30 no.4, pp.413-419
https://doi.org/10.22172/cogbio.2018.30.4.007



& (2018). Support Vector Machine(SVM)-based classification of eyewitness memory using single-trial EEG. The Korean Journal of Cognitive and Biological Psychology, 30(4), 413-419, https://doi.org/10.22172/cogbio.2018.30.4.007

Abstract

The focus of this study was discriminating the eyewitness memory using single-trial electroencephalogram (EEG) evoked by memory cues composed of multiple words. We reanalyzed the event-related potentials (ERP) data (n=69) from Ham, Kim, & Jeong (2018) studies, and two-class classification was conducted to distinguish correctly witnessed objects vs unwitnessed objects trials using linear support vector machine (SVM) algorithm. The single-trial classification analysis showed the post-stimulus EEG activity between 800 to 850 ms was the most accurate interval for the memory classification (57.43%). This result suggests that the EEG during memory retrieval can be used to determine whether or not it is witnessed. Finally, we discussed some points to consider when using EEG for eyewitness memory classification.

keywords
목격자 기억, 재인, 뇌파, 서포트 벡터 머신, eyewitness memory, recognition, EEG, support vector machine

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