2017 Fiscal Year Final Research Report
Proposal of support method for the affectivity of the elderly using onomatopoeia from routine practice to dementia diagnosis
Project/Area Number |
15H02766
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Research Category |
Grant-in-Aid for Scientific Research (B)
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Allocation Type | Single-year Grants |
Section | 一般 |
Research Field |
Kansei informatics
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Research Institution | The University of Electro-Communications |
Principal Investigator |
Sakamoto Maki 電気通信大学, 大学院情報理工学研究科, 教授 (80302826)
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Co-Investigator(Kenkyū-buntansha) |
松田 隆秀 聖マリアンナ医科大学, 医学部, 教授 (40190475)
高玉 圭樹 電気通信大学, 大学院情報理工学研究科, 教授 (20345367)
大島 千佳 佐賀大学, 工学(系)研究科(研究院), 研究員 (10395147)
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Project Period (FY) |
2015-04-01 – 2018-03-31
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Keywords | 感性情報学 / 感性計測評価 / オノマトペ / 問診支援システム / 認知症早期診断 |
Outline of Final Research Achievements |
Physical condition or feelings are subjectively expressed in onomatopoeia (generic name of onomatopoeias/mimetic words) such as "thunderbolts" to physicians. However, since subjective complaints by language are difficult to objectively evaluate, diagnosis tends to be dependent on medical inspections. Therefore, we developed a medical interview support system that respects subjective complaints and sensibilities, and established a framework that emphasizes onomatopoeia in daily medical interviews.In addition, by observing onomatopoeia naturally from healthy time, we overcome the problem of conventional dementia examination which had a large psychological and physical burden, and declined the cognitive ability of texture perceived as the early symptom of dementia. And we proposed a method for finding it at an early stage by a simple method of letting a texture of appearance be expressed by onomatopeia.
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Free Research Field |
感性情報学
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