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J-GLOBAL ID:202002286085738081   Reference number:20A2181760

Evaluation of Road Surface Condition using Wheelchair Acceleration Data by Integrated Model of CNN and RNN

CNNとRNNの統合モデルによる車いす加速度データを用いた路面状態の評価
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Material:
Volume: 19th  Issue: 第2分冊  Page: 197-200  Publication year: Aug. 18, 2020 
JST Material Number: L4664A  Document type: Proceedings
Article type: 原著論文  Country of issue: Japan (JPN)  Language: JAPANESE (JA)
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Semi thesaurus term:
Thesaurus term/Semi thesaurus term
Keywords indexed to the article.
All keywords is available on JDreamIII(charged).
On J-GLOBAL, this item will be available after more than half a year after the record posted. In addtion, medical articles require to login to MyJ-GLOBAL.

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Category name(code) classified by JST.
Urban problems,urban disaster prevention 
Reference (23):
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  • H. Matthews, L. Beale, P. Picton, and D. Briggs, “Modelling access with GIS in urban systems (MAGUS): Capturing the experiences of wheelchair users, ” Area, Vol. 35, No.1, pp.34-45, 2003.
  • H. A. Karimi, L. Zhang, and J.G. Benner, “Personalized accessibility map (PAM): A novel assisted wayfinding approach for people with disabilities, ” Annals of GIS, Vol.20, No.2, pp.99-108, 2014.
  • C. Ponsard and V. Snoeck, “Objective accessibility assessment of public infrastructures,” in Computers Helping People with Special Needs, pp.314-321, Springer, 2006.
  • K. Hara, “Scalable methods to collect and visualize sidewalk accessibility data for people with mobility impairments,” Proc. Adjunct Publication of the 27th Annual ACM Symposium on User Interface Software and Technology, pp.1-4, 2014.
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