DocumentCode :
3706566
Title :
LMDD: Light-Weight Magnetic-Based Door Detection with Your Smartphone
Author :
Yiyang Zhao;Chen Qian;Liangyi Gong;Zhenhua Li;Yunhao Liu
Author_Institution :
Sch. of Software, Tsinghua Univ., Beijing, China
fYear :
2015
Firstpage :
919
Lastpage :
928
Abstract :
Doors are important landmarks for indoor positioning systems. Hence an accurate and light-weight door detection approach is highly desired. The state-of-the-art solutions are either vision based or infrastructure based, which incur nontrivial device or management cost. This paper presents a novel approach, Light-weight Magnetic-based Door Detection (LMDD), which only relies on the information from built-in sensors of a smartphone. LMDD detects a door by analyzing the change of magnetic signal and extracting special features caused by doors. It is light-weight in both computation and infrastructure cost. We have implemented a prototype of LMDD that has been installed on various Android phones. Experimental results show that LMDD achieves door detection accuracy of 74% in average, ranging from 66% to 85% in various typical environments such as offices, classrooms, residential houses, and a hospital.
Keywords :
"Magnetometers","Magnetic sensors","Magnetic resonance imaging","Magnetic analysis","Feature extraction","Buildings"
Publisher :
ieee
Conference_Titel :
Parallel Processing (ICPP), 2015 44th International Conference on
ISSN :
0190-3918
Type :
conf
DOI :
10.1109/ICPP.2015.101
Filename :
7349647
Link To Document :
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