Motion Recognition based 3D Indoor Navigation System for Smartphone User

Title
Motion Recognition based 3D Indoor Navigation System for Smartphone User
Authors
신범주이정호이석김재헌김철기이택진
Keywords
Indoor navigation; pattern matching; pedestrian dead reckoning; smartphone; hybrid model
Issue Date
2013-11
Publisher
2013 KGS conference
Abstract
The motion recognition based 3D indoor navigation system is developed to track the position of pedestrian in the indoor environment. The motion of pedestrian could be estimated by using the output of sensors embedded in the smartphone. To compensate the previous PDR system, we apply the estimated motion to PDR and make more accurate system than before. To enhance the availability of pattern recognition for motion and heading estimation, we develop the hybrid model and this enable the estimation of the motion and heading of various pedestrians. The position of pedestrian could be tracked by the proposed system though the pedestrian performs various motions.
URI
http://pubs.kist.re.kr/handle/201004/46687
Appears in Collections:
KIST Publication > Conference Paper
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