歩行中の脳波に含まれるワークロード信号のブラインド信号源分離を用いた抽出
岩瀬悠哉， 成瀬康， 横田悠右， 梅原広明… - … インタフェース学会論文誌, 2018 - jstage.jst.go.jp
岩瀬悠哉， 成瀬康， 横田悠右， 梅原広明， 梅野健
ヒューマンインタフェース学会論文誌, 2018•jstage.jst.go.jp抄録 Recently wearable electroencephalography (EEG) device enables us to mea sure
brain activities during moving. However, EEG data include noise caused by movement when
participants move. Therefore, it is a significant problem to reduce the noise in order to
measure brain activities during moving. In this paper, we focused on the workload estimation
from auditory steady state response during walking. We compared the noise reduction
performance of some kinds of blind source separation methods.
brain activities during moving. However, EEG data include noise caused by movement when
participants move. Therefore, it is a significant problem to reduce the noise in order to
measure brain activities during moving. In this paper, we focused on the workload estimation
from auditory steady state response during walking. We compared the noise reduction
performance of some kinds of blind source separation methods.
抄録
Recently wearable electroencephalography (EEG) device enables us to mea sure brain activities during moving. However, EEG data include noise caused by movement when participants move. Therefore, it is a significant problem to reduce the noise in order to measure brain activities during moving. In this paper, we focused on the workload estimation from auditory steady state response during walking. We compared the noise reduction performance of some kinds of blind source separation methods.
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