DocumentCode :
162166
Title :
User behavior based automatical navigation system on Android platform
Author :
Jie Tian ; Guiling Wang ; Xin Gao ; Kaixuan Shi
Author_Institution :
Dept. of Comput. Sci., New Jersey Inst. of Technol., Newark, NJ, USA
fYear :
2014
fDate :
9-10 May 2014
Firstpage :
1
Lastpage :
6
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.
Keywords :
navigation; smart phones; Android platform; smartphones; user behavior based automatical navigation system; Memory; Navigation; Receivers;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless and Optical Communication Conference (WOCC), 2014 23rd
Conference_Location :
Newark, NJ
Type :
conf
DOI :
10.1109/WOCC.2014.6839916
Filename :
6839916
Link To Document :
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