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Novel mobile motion prediction algorithm for predicting pedestrian’s next location
Yan Zhuang; Simon Fong; Meng Yuan
2016-08-30
Conference Name11th International Scientific Conference on Future Information Technology (FutureTech) / 10th International Conference on Multimedia and Ubiquitous Engineering (MUE)
Source PublicationAdvanced Multimedia and Ubiquitous Engineering
Volume393
Pages737-746
Conference DateAPR 20-22, 2016
Conference PlaceBeijing, PEOPLES R CHINA
PublisherSPRINGER, 233 SPRING ST, NEW YORK, NY 10013 USA
Abstract

This paper describes a novel mobile motion prediction algorithm to meet the need of today’s mobile system and application which is based on Markov model. As in different time period, the things people always do usually are different, so does the route they have taken. It provides a way to constrain the path sample with time interval to enhance the prediction. In the end, the prediction accuracy is experimented up to 92 %.

KeywordLocation Prediction Trajectory Mining Gps Trajectory Analysis
DOI10.1007/978-981-10-1536-6_96
URLView the original
Indexed ByCPCI-S
Language英語English
WOS Research AreaMathematics ; Science & Technology - Other Topics ; Physics
WOS SubjectMathematics ; Multidisciplinary Sciences ; Physics, Mathematical
WOS IDWOS:000399933600096
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Cited Times [WOS]:1   [WOS Record]     [Related Records in WOS]
Document TypeConference paper
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Corresponding AuthorSimon Fong
AffiliationDepartment of Computer and Information Science, University of Macau, Macau Sar, People’s Republic of China
First Author AffilicationUniversity of Macau
Corresponding Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Yan Zhuang,Simon Fong,Meng Yuan. Novel mobile motion prediction algorithm for predicting pedestrian’s next location[C]:SPRINGER, 233 SPRING ST, NEW YORK, NY 10013 USA,2016:737-746.
APA Yan Zhuang,Simon Fong,&Meng Yuan.(2016).Novel mobile motion prediction algorithm for predicting pedestrian’s next location.Advanced Multimedia and Ubiquitous Engineering,393,737-746.
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