TY - GEN
T1 - User behavior based automatical navigation system on Android platform
AU - Tian, Jie
AU - Wang, Guiling
AU - Gao, Xin
AU - Shi, Kaixuan
PY - 2014
Y1 - 2014
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84904176853&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84904176853&partnerID=8YFLogxK
U2 - 10.1109/WOCC.2014.6839916
DO - 10.1109/WOCC.2014.6839916
M3 - Conference contribution
AN - SCOPUS:84904176853
SN - 9781479952496
T3 - 2014 23rd Wireless and Optical Communication Conference, WOCC 2014
BT - 2014 23rd Wireless and Optical Communication Conference, WOCC 2014
PB - IEEE Computer Society
T2 - 2014 23rd Wireless and Optical Communication Conference, WOCC 2014
Y2 - 9 May 2014 through 10 May 2014
ER -