Aroma description by sensors which learned aroma wheel
| Project/Area Number |
16K12709
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| Research Category |
Grant-in-Aid for Challenging Exploratory Research
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| Allocation Type | Multi-year Fund |
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| Research Field |
Eating habits
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| Research Institution | Jikei University School of Medicine |
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Principal Investigator |
Fujioka Kouki 東京慈恵会医科大学, 医学部, 講師 (90392381)
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| Research Collaborator |
MANOME Yoshinobu 東京慈恵会医科大学, 医学部, 教授 (30219539)
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| Project Period (FY) |
2016-04-01 – 2018-03-31
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| Project Status |
Completed (Fiscal Year 2017)
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| Budget Amount *help |
¥3,510,000 (Direct Cost: ¥2,700,000、Indirect Cost: ¥810,000)
Fiscal Year 2017: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2016: ¥2,860,000 (Direct Cost: ¥2,200,000、Indirect Cost: ¥660,000)
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| Keywords | 香り / センサー / コーヒー / 嗅覚センサー / 風味表現 / フレーバーホイール / 匂い / センサ / アルゴリズム |
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| Outline of Final Research Achievements |
We aim to develop a system to objectively quantify fragrance with sensor devices which learned aroma wheel. In this research, in order to expand the diversity of the odor description, we used the aroma kit, Le Nez du Cafe, which composed of 36 kinds of scents, for coffee aroma description. As a result, several coffee aroma description axes for discrimination were added. In future study, we should fit the data to human aroma description.
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Report
(3 results)
Research Products
(1 results)
