TY - GEN
T1 - Improving indoor localization with social interactions
AU - Jun, Junghyun
AU - Cheng, Long
AU - Sun, Jun
AU - Gu, Yu
AU - Zhu, Ting
AU - He, Tian
PY - 2012
Y1 - 2012
N2 - In this paper, we propose Social-Loc, which uniquely uti- lizes social interactions in addition to common on-board sen- sors such as accelerometer and gyroscope on modern smart- phones, to localize indoor mobile users. Specifically, Social- Loc takes the potential locations for individual users esti- mated by a novel particle filter tailored for indoor localiza- tion as input, and exploits both social encounter and non- encounter events to further improve the localization accu- racy. We have implemented Social-Loc on the Android plat- form and extensively evaluated its performance. The simula- tion results demonstrate that Social-Loc improves the accu- racy of the particle-filter-only scheme by as much as 560% on average and is able to achieve accuracy of few meters without any external ranging device or system training.
AB - In this paper, we propose Social-Loc, which uniquely uti- lizes social interactions in addition to common on-board sen- sors such as accelerometer and gyroscope on modern smart- phones, to localize indoor mobile users. Specifically, Social- Loc takes the potential locations for individual users esti- mated by a novel particle filter tailored for indoor localiza- tion as input, and exploits both social encounter and non- encounter events to further improve the localization accu- racy. We have implemented Social-Loc on the Android plat- form and extensively evaluated its performance. The simula- tion results demonstrate that Social-Loc improves the accu- racy of the particle-filter-only scheme by as much as 560% on average and is able to achieve accuracy of few meters without any external ranging device or system training.
KW - Indoor localization
KW - Mobile system
KW - Pedestrian localization
KW - Social in- teraction
UR - http://www.scopus.com/inward/record.url?scp=84873438864&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84873438864&partnerID=8YFLogxK
U2 - 10.1145/2426656.2426689
DO - 10.1145/2426656.2426689
M3 - Conference contribution
AN - SCOPUS:84873438864
SN - 9781450311694
T3 - SenSys 2012 - Proceedings of the 10th ACM Conference on Embedded Networked Sensor Systems
SP - 323
EP - 324
BT - SenSys 2012 - Proceedings of the 10th ACM Conference on Embedded Networked Sensor Systems
T2 - 10th ACM Conference on Embedded Networked Sensor Systems, SenSys 2012
Y2 - 6 November 2012 through 9 November 2012
ER -