An Analysis of EEG Watching Fear of Crime Video


KIPS Transactions on Software and Data Engineering, Vol. 7, No. 9, pp. 361-366, Sep. 2018
10.3745/KTSDE.2018.7.9.361, Full Text:
Keywords: EEG, Fear of Crime, Power Spectral Density, Beta Wave
Abstract

Previous studies on fear of crime used survey and interview to measure fear of crime. However, though these methods can measure fear of crime in past events, they cannot measure real time fear of crime. In this paper, we use EEG to measure fear of crime in real time. We measure and analyze the EEG of subjects watching the video and confirm the difference between three groups classified according to the degree of fear of crime. As a result, about two times more beta waves are shown when a group of subjects with a high degree of fear of crime watches the images of fear of crime and 1.5 times more beta waves are shown among the other groups. Although watching videos related to the crime increased the beta waves, the police video showed little increase in beta waves because the subjects can sense safety in the video even if it is related to crime.


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Cite this article
[IEEE Style]
Y. Kim and H. Kang, "An Analysis of EEG Watching Fear of Crime Video," KIPS Transactions on Software and Data Engineering, vol. 7, no. 9, pp. 361-366, 2018. DOI: 10.3745/KTSDE.2018.7.9.361.

[ACM Style]
Yong-Woo Kim and Hang-Bong Kang. 2018. An Analysis of EEG Watching Fear of Crime Video. KIPS Transactions on Software and Data Engineering, 7, 9, (2018), 361-366. DOI: 10.3745/KTSDE.2018.7.9.361.