English, Article edition: Learning Trajectory Information with Neural Networks and the Markov Model to Develop Intelligent Location-Based Services Sang-Jun Han; Sung-Bae Cho

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Bookmark: http://trove.nla.gov.au/version/133403
Physical Description
  • article
Language
  • English

Edition details

Title
  • Learning Trajectory Information with Neural Networks and the Markov Model to Develop Intelligent Location-Based Services
Author
  • Sang-Jun Han
  • Sung-Bae Cho
Physical Description
  • article
Notes
  • In the development of location-based services, various location-sensing techniques and experimental/​commercial services have been used. However, conventional location-based services are limited in terms of flexibility because they depend on the current location of the user. We propose a novel method of predicting the user's future movements in order to develop advanced location-based services. The user's movement trajectory is modelled using a combination of recurrent self-organising maps (RSOM) and the Markov model. Future movement is predicted based on past movement trajectories. A prototype application based on location prediction is also presented. This application is a mobile user assistant targeted to university students. To verify the proposed method, a GPS dataset was collected on the Yonsei University campus. The results were promising enough to confirm that the application works flexibly even in ambiguous situations.
  • Location-based services, context-awareness, self-organising map, Markov chain model
  • RePEc:wsi:jikmxx:v:05:y:2006:i:04:p:291-301
Language
  • English
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