Paper Info
Title
Location Estimation Indoors by Means of Small Computing Power Devices, Accelerometers, Magnetic Sensors, and Map Knowledge
Abstract
A distributed real-time system, based on wearable accelerometers and magnetic sensors, is proposed for location estimation and recognition of walking behaviors. Suitable for both outdoor and indoor navigation, the system is especially adjusted for irregular movements indoors. The algorithm, which demands only small computing resources, performs step detection and classification in the time domain, allowing the estimation of the size of each separate step independently. Since the system finds the user's position relative to an initial position, it is intended to be supplemented with different types of absolute positioning information. Making use of map knowledge, as an easily available source of this information, is analyzed. The conclusion is drawn that referring to the locations of the corridors and stairways increases the positioning accuracy and reduces the effect of magnetic field distortions encountered inside buildings. The positioning error of different system configurations was 3-10 % from traveled distance.
Year
DOI
Venue
2002
10.1007/3-540-45866-2_17
Pervasive
Keywords
Field
DocType
magnetic sensor,location estimation,initial position,different type,positioning accuracy,positioning error,magnetic field distortion,different system configuration,map knowledge,magnetic sensors,absolute positioning information,location estimation indoors,small computing power devices,real-time system,time domain,magnetic field
Mobile computing,Computer science,Power semiconductor device,Step detection,Artificial intelligence,Distributed computing,Time domain,Computer vision,Simulation,Wearable computer,Accelerometer,Real-time operating system,Dead reckoning
Conference
ISBN
Citations 
PageRank 
3-540-44060-7
14
2.68
References 
Authors
11
4
Name
Order
Citations
PageRank
Elena Vildjiounaite134732.45
Esko-juhani Malm2324.89
Jouni Kaartinen3407.29
Petteri Alahuhta435236.18