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  • 한국과학기술정보연구원(KISTI) 서울분원 대회의실(별관 3층)
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  • P-ISSN1226-9654
  • E-ISSN2733-466X
  • KCI

ISSN : 1226-9654

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논문 투고

Vol.30 No.4

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단일 시행의 뇌파와 서포트 벡터 머신(support vector machine)을 이용한목격자 기억 분류

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

한국심리학회지: 인지 및 생물 / 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
함근수 (국립수사과학연구원 법심리과)
김기평 (국립과학수사연구원)
정호진 (국립과학수사연구원)
함근수, 김기평, & 정호진. (2018). 단일 시행의 뇌파와 서포트 벡터 머신(support vector machine)을 이용한목격자 기억 분류. 한국심리학회지: 인지 및 생물, 30(4), 413-419, https://doi.org/10.22172/cogbio.2018.30.4.007

초록

본 연구는 여러 단어로 구성된 기억 단서에 의해 유발된 뇌파를 이용하여 목격 여부를 우연 수준 이상으로 구별할 수 있는지 알아보기 위해 수행되었다. Ham, Kim과 Jeong(2018)의 연구에서 수집한 사건관련전위 자료(n=69)를 재분석하여 선형 서포트 벡터 머신(support vector machine, SVM) 분류 모델의 정확성을 평가했다. 참가자들마다 절도 범죄를 재연한 동영상에서 목격할 수 있었던 물건과 목격하지 않은 물건을 정확하게 분류한 적중 시행과 정확 기각 시행의 뇌파가 분석에 이용되었다. 선형 SVM 커널을 이용하여 뇌파를 분류한 결과, 기억 단서 제시 후 800∼850ms 구간에서 분류 정확률 평균이 57.43%로 가장 높았다. 이런 결과는 기억 단서가 제시되었을 때 이 단서와 관련된 세부적인 정보 인출이 이뤄지는 것으로 여겨지는 구간의 뇌파를 분석하여 목격 여부를 구별할 수 있음을 시사한다. 마지막으로 수사 현장에서 뇌파를 활용할 때 고려해야 할 점에 대해 논의하였다.

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

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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한국심리학회지: 인지 및 생물

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