DOI QR코드

DOI QR Code

Design of User Concentration Classification Model by EEG Analysis Based on Visual SCPT

  • 투고 : 2018.05.23
  • 심사 : 2018.10.25
  • 발행 : 2018.11.30

초록

In this study, we designed a model that can measure the level of user's concentration by measuring and analyzing EEG data of the subjects who are performing Continuous Performance Test based on visual stimulus. This study focused on alpha and beta waves, which are closely related to concentration in various brain waves. There are a lot of research and services to enhance not only concentration but also brain activity. However, there are formidable barriers to ordinary people for using routinely because of high cost and complex procedures. Therefore, this study designed the model using the portable EEG measurement device with reasonable cost and Visual Continuous Performance Test which we developed as a simplified version of the existing CPT. This study aims to measure the concentration level of the subject objectively through simple and affordable way, EEG analysis. Concentration is also closely related to various brain diseases such as dementia, depression, and ADHD. Therefore, we believe that our proposed model can be useful not only for improving concentration but also brain disease prediction and monitoring research. In addition, the combination of this model and the Brain Computer Interface technology can create greater synergy in various fields.

키워드

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Fig. 1. EEG Equipment ‘Muse 2017’

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Fig. 2. International 10-20 System

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Fig. 3. Types of stimuli

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Fig. 4. Stimulus Presentation Protocol

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Fig. 5. Pre-Survey Example

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Fig. 6. Comparison of EEG AC and SCPT AC

Table 1. EEG Frequency Classification

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Table 2. Experiment Procedure

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Table 3. Comparison of Meditation AC and Visual SCPT AC

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Table 4. Correlation Analysis of EEG AC and SCPT AC (During Visual SCPT)

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