| Project/Area Number |
17K12730
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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 |
Human interface and interaction
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| Research Institution | Nihon University |
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Principal Investigator |
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| Project Period (FY) |
2017-04-01 – 2020-03-31
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| Project Status |
Discontinued (Fiscal Year 2019)
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| Budget Amount *help |
¥3,900,000 (Direct Cost: ¥3,000,000、Indirect Cost: ¥900,000)
Fiscal Year 2019: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2018: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2017: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
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| Keywords | バリアフリー / ディープラーニング / 加速度 / 健常者 / 障害者 / ゲーミフィケーション / 拡張現実感 |
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| Outline of Final Research Achievements |
To create a accessibility map covering a wide area, we conducted a basic study on accessibility problem detection from acceleration data obtained from walkers. For input, we determined the appropriate sensor type and location, and explored an approach to make users motivated to collect data using gamification. For data analysis, we investigated the appropriate structure of neural networks for detecting accessibility problems from acceleration data. For output, we clarified the problem in visualizing accessibility problems on a map. Also, we proposed a concept of an AR-based wheelchair simulator.
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| Academic Significance and Societal Importance of the Research Achievements |
学術的には，健常者の歩行時加速度データから，ニューラルネットワークを用いて路面のバリア種別を推定するという新たなアプローチを提唱し，その効果を検証した点に意義がある。
社会的には，広範囲を網羅するバリアフリーマップが低コストで実現できる可能性があり，移動弱者の移動・社会参加を支援する基礎技術を実現できた点に意義がある。
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