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dc.contributor.author신범주-
dc.contributor.author이정호-
dc.contributor.author이석-
dc.contributor.author김재헌-
dc.contributor.author김철기-
dc.contributor.author이택진-
dc.date.accessioned2015-12-03T01:05:53Z-
dc.date.available2015-12-03T01:05:53Z-
dc.date.issued201311-
dc.identifier.other41049-
dc.identifier.urihttp://pubs.kist.re.kr/handle/201004/46687-
dc.description.abstractThe 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.-
dc.publisher2013 KGS conference-
dc.subjectIndoor navigation-
dc.subjectpattern matching-
dc.subjectpedestrian dead reckoning-
dc.subjectsmartphone-
dc.subjecthybrid model-
dc.titleMotion Recognition based 3D Indoor Navigation System for Smartphone User-
dc.typeConference Paper-
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