Estimation of human workload in real world using the wearable EEG device
| Project/Area Number |
16K21688
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Multi-year Fund |
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| Research Field |
Life / Health / Medical informatics
Brain biometrics
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| Research Institution | National Institute of Information and Communications Technology |
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Principal Investigator |
Yokota Yusuke 国立研究開発法人情報通信研究機構, 脳情報通信融合研究センター脳情報工学研究室, 研究員 (10710593)
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| Project Period (FY) |
2016-04-01 – 2019-03-31
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| Project Status |
Completed (Fiscal Year 2018)
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| Budget Amount *help |
¥3,770,000 (Direct Cost: ¥2,900,000、Indirect Cost: ¥870,000)
Fiscal Year 2018: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2017: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2016: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
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| Keywords | 脳波 / 聴覚定常状態応答 / ワークロード / 実環境計測 / 生体情報 / 脳・神経 |
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| Outline of Final Research Achievements |
Workload in the human brain can be a useful index of internal brain state. However, due to technical limitations, previous workload studies have been unable to record brain activity via conventional electroencephalography (EEG). In this study, we used a wearable EEG system to estimate workload in a real world.
We used the auditory steady-state response (ASSR) which is an oscillatory brain activity evoked by repetitive auditory stimuli, as an estimation index of workload. We found that the phase-locking-index (PLI) of ASSR activity was significantly correlated with the degree of task difficulty. Thus, ASSR appears to be an effective index of workload in real world recording.
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| Academic Significance and Societal Importance of the Research Achievements |
ワークロードをヒトの一般的なコミュニケーションである言葉や身振りで表現することは困難である．しかしながら，ヒトの脳情報からワークロードを直接表現できたことで，ワークロードを客観的かつ定量的に表現することが可能になった．本研究の成果は，例えば，どのような環境がヒトに対してストレスをかけない優しい状態であるか，どのようなインターフェースがより使いやすいかといったこれまで比較，検討することが困難であった問題を解決する指標の１つになり得る．
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Report
(4 results)
Research Products
(10 results)
