| Project/Area Number |
25330136
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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 |
Multimedia database
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| Research Institution | Waseda University |
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Principal Investigator |
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| Co-Investigator(Kenkyū-buntansha) |
SRIPRASERTSUK Pao 早稲田大学, 理工学術院, 助教 (40571899)
SUGANUMA Mutsumi 早稲田大学, 理工学術院, 主任研究員 (50399507)
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| Project Period (FY) |
2013-04-01 – 2016-03-31
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| Project Status |
Completed (Fiscal Year 2015)
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| Budget Amount *help |
¥4,810,000 (Direct Cost: ¥3,700,000、Indirect Cost: ¥1,110,000)
Fiscal Year 2015: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
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)
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| Keywords | アトモスフェア・メタデータ / メタデータ / 瞳孔径 / 視線 / 基礎律動 / 生体信号 / 瞳孔径情報 / 視線情報 |
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| Outline of Final Research Achievements |
In order to realize an effective contents recommendation system considering the personalization of audiovisual contents selection, a method to directly extract viewers' emotion, which is different from viewer to viewer, using bio-signals and to use it for the system has been studied. In this study, we focus on bio-signals of pupil size, gazing, fixation, background activity of brain, etc., and have analyzed them including the relationship among them. The results show characteristic features different among viewers are extracted by using multi-modal bio-signals. The analysis of the features among viewers also suggests that viewers can be categorized into some groups of viewers with the similar emotion to a certain AV content. The future study includes obtaining huge size of viewers' data and performance evaluation in actual contents recommendation system using the metadata extracted by the bio-signals.
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