Art

J-GLOBAL ID：201902222419522116   Reference number：19A1932044

歩容に頑健なPDRのための深層学習を用いた歩行速度推定手法

Author (6)： YOSHIDA HIROTO (名古屋大) ,  NOZAKI ATSUTO (名古屋大) ,  HIROI KEI (名古屋大) ,  KAJI KATSUHIKO (愛知工大) ,  YONEZAWA TAKURO (名古屋大) ,  KAWAGUCHI NOBUO (名古屋大)
Material： 情報処理学会研究報告(Web)  (IPSJ Technical Report (Web))
Volume： 2019  Issue： UBI-63  Page： Vol.2019-UBI-63,No.3,1-7 (WEB ONLY)  Publication year： Aug. 19, 2019 
JST Material Number： U0451A  Document type： Proceedings
Article type： 短報  Country of issue： Japan (JPN)  Language： JAPANESE (JA)

Thesaurus term： *navigation(location) ,  *pedestrian ,  *location information ,  *speed sensor ,  acceleration(ratio) ,  accelerometer ,  route ,  *estimation ,  positioning ,  position measurement ,  indoor environment ,  *machine learning ,  neural network(biomodel) ,  *velocity ,  velocity measurement
Semi thesaurus term： *autonomous navigation ,  *歩行者デッドレコニング ,  *acceleration sensor ,  *移動経路 ,  *indoor localization ,  *deep learning ,  *Walking Speed ,  speed estimation

JST classification (3)： Pattern recognition  (JE07000S) ,  Artificial intelligence  (JE08000Z) ,  Measuring methods and instruments of time,speed,acceleration,angular veloc?  (AD05040K)

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Terms in the title (5)： 歩容 ,  深層学習 ,  歩行速度 ,  推定 ,  手法