DocumentCode :
1823271
Title :
Incremental motion-based location recognition
Author :
Lee, Seon-Woo ; Mase, Kenji
Author_Institution :
AIR Media Integration & Commun. Res. Labs., Kyoto, Japan
fYear :
2001
fDate :
2001
Firstpage :
123
Lastpage :
130
Abstract :
This paper describes a method to recognize the current location of a user using a few simple sensors. The proposed method is based on the integration of incremental motions (e.g., walking) over time to determine location transitions. To handle uncertainty, a fuzzy reasoning method is introduced. The paper also describes a prototype location recognition system that uses a set of inexpensive and wearable sensors, a bi-axial accelerometer and a digital compass. The system uses a reliable motion recognition method featuring only two directional acceleration measurements. The effectiveness of the proposed method is demonstrated by experiments at six locations in an indoor environment
Keywords :
Global Positioning System; fuzzy logic; intelligent sensors; learning (artificial intelligence); biaxial accelerometer; digital compass; fuzzy reasoning method; incremental motion-based location recognition; incremental motions; indoor environment; location transitions; prototype location recognition system; reliable motion recognition method; simple sensors; Accelerometers; Cameras; Global Positioning System; Hidden Markov models; Indoor environments; Legged locomotion; Position measurement; Prototypes; Sensor phenomena and characterization; Wearable sensors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wearable Computers, 2001. Proceedings. Fifth International Symposium on
Conference_Location :
Zurich
ISSN :
1530-0811
Print_ISBN :
0-7695-1318-2
Type :
conf
DOI :
10.1109/ISWC.2001.962113
Filename :
962113
Link To Document :
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