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 %.
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Acknowledgments
The authors of this paper are thankful to the financial supports of the grant offered with code: MYRG2015-00024, called “Building Sustainable Knowledge Networks through Online Communities”, by RDAO, University of Macau.
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© 2016 Springer Science+Business Media Singapore
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Zhuang, Y., Fong, S., Yuan, M. (2016). Novel Mobile Motion Prediction Algorithm for Predicting Pedestrian’s Next Location. In: Park, J., Jin, H., Jeong, YS., Khan, M. (eds) Advanced Multimedia and Ubiquitous Engineering. Lecture Notes in Electrical Engineering, vol 393. Springer, Singapore. https://doi.org/10.1007/978-981-10-1536-6_96
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DOI: https://doi.org/10.1007/978-981-10-1536-6_96
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Publisher Name: Springer, Singapore
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Online ISBN: 978-981-10-1536-6
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