Research of the distance learning support system by using the electroencephalograph
| Project/Area Number |
24501219
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Educational technology
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| Research Institution | Shonan Institute of Technology |
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Principal Investigator |
YOSHIDA KOUJI 湘南工科大学, 工学部, 教授 (80341171)
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| Co-Investigator(Kenkyū-buntansha) |
MIYAJI Isao 岡山理科大学, 総合情報学部, 教授 (30043722)
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| Co-Investigator(Renkei-kenkyūsha) |
YAMADA Kunihiro 東海大学, 情報科学, 教授 (20408066)
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| Project Period (FY) |
2012-04-01 – 2015-03-31
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| Project Status |
Completed (Fiscal Year 2014)
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| Budget Amount *help |
¥4,940,000 (Direct Cost: ¥3,800,000、Indirect Cost: ¥1,140,000)
Fiscal Year 2014: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2013: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
Fiscal Year 2012: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
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| Keywords | 脳波センサー / フィードバック / 遠隔教育 / 支援システム / 学習支援 / α波 / β波 / γ波 |
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| Outline of Final Research Achievements |
First of all, we have been developing systems using distance learning and blended learning. However, no equipment has ever been able to measure human states easily. Inexpensive electroencephalogram sensors have become available lately, which enable us to measure electroencephalograms, to monitor human states thereby, and to obtain information easily as digital data. We analyzed the relation between α and β waves using this simple electroencephalograph. The results revealed that measurement of β/α enables us to evaluate the activity and vital activity of the human brain.
Secondly,experiments using a support system with (θ + α)/(10 × low γ) as an index showed improved percentages of correct answers.
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Report
(4 results)
Research Products
(17 results)
