• Title/Summary/Keyword: BiometrIc Recognition

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Analysis of EEG Reproducibility for Personal Authentication (개인인증을 위한 뇌파의 재현성에 대한 분석)

  • Jung, Yu-Ra;Jang, Yun-Seok
    • The Journal of the Korea institute of electronic communication sciences
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    • v.15 no.3
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    • pp.527-532
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    • 2020
  • In this paper, we presented the results of analysis through EEG measurement for the purpose of checking the frequency band of EEG signals that can be used for personal authentication. The measurement status was divided into the open-eye state and the closed-eye state depending on the presence or absence of an optical task. The data measured in the EEG experiments was divided into seven frequency bands : delta waves, theta waves, alpha waves, SMR waves, mid-beta waves, beta waves and gamma waves to identify the frequency band with the smallest power fluctuation over time. In our results, there was no significant difference between the open-eye state and the closed-eye state, and the SMR waves and mid-beta waves related to human concentration had the smallest fluctuation in power over time, and were a highly reproducible frequency band.