User behavior based automatical navigation system on Android platform

Jie Tian, Guiling Wang, Xin Gao, Kaixuan Shi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

Nowadays, navigation applications in smartphones are widely used in our daily lives. But the problem existing in using the applications is that a lot of operations between users and smartphones are needed, such as destination setting, options setting and zooming in/out. Potential dangers may bring to the users when they are walking on the street or especially driving. In this paper, we study providing an automatical navigation system, in which the number of users' operations is largely reduced. The navigation system can automatically predict user's future possible destinations and routes without any operation from users. The prediction is performed by analyzing both user's current position and historical tracing data. We implement the proposed system on the Android platform. The experimental results show that the application works effectively to provide anticipated routes and destinations for a single user.

Original languageEnglish (US)
Title of host publication2014 23rd Wireless and Optical Communication Conference, WOCC 2014
PublisherIEEE Computer Society
ISBN (Print)9781479952496
DOIs
StatePublished - Jan 1 2014
Event2014 23rd Wireless and Optical Communication Conference, WOCC 2014 - Newark, NJ, United States
Duration: May 9 2014May 10 2014

Publication series

Name2014 23rd Wireless and Optical Communication Conference, WOCC 2014

Other

Other2014 23rd Wireless and Optical Communication Conference, WOCC 2014
CountryUnited States
CityNewark, NJ
Period5/9/145/10/14

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

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