Brain signal detection methodology for attention training using minimal EEG channels

Abstract

This paper presents the methodology to find the appropriate locations on the scalp for detecting EEG signal for attention training. The aim was to use low cost commercial EEG sensing device to select four positions which provide strong attention related signals. We aim to use the results of this work to develop a low cost attention training set. Three experiments were conducted to collect raw EEG data from 10 examiners. All 3 experiments made the examiners focus on the specific task to stimulate attention. First experiment is to read a light-content book, second is to figure out a hidden 3D image and the last one is to answer a general questionnaire on a PC. As the result, the suggested locations for detecting Alpha wave are AF3 and F7. The suggested locations for detecting Beta wave are FC6 and F8. It also shows that Alpha wave in the relaxation state higher than Alpha wave in the attention state and Beta wave in the attention state higher than Beta wave in the relaxation state.