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저가형 관성센서를 이용한 개인항법시스템을 위한 보폭 추정 기법 : Step Estimation for Pedestrian Navigation System Using a Low-cost MEMS Sensor

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dc.contributor.author박찬국-
dc.contributor.author신승혁-
dc.contributor.author조성윤-
dc.date.accessioned2009-10-08T05:54:30Z-
dc.date.available2009-10-08T05:54:30Z-
dc.date.issued2004-11-
dc.identifier.citationThe 11th GNSS Workshop, 2004.en
dc.identifier.urihttps://hdl.handle.net/10371/10335-
dc.description.abstractIn this paper, a step estimation algorithm and the hardware module for pedestrian navigation system arepresented. GPS can provide the navigation information only when the satellites are visible. On the other hand,inertial navigation systems can calculate the moving distance anywhere but its error increases with time due to thesensor bias. In order to detect the humans walking distance, a low-cost MEMS inertial sensor is only utilized. Theperformance of the proposed system is verified by many experiments. The proposed system is able to keep anaccuracy of 98% in step detection and 94% in walking distance.en
dc.description.sponsorship(주)마이크로인피니티en
dc.language.isoko-
dc.subjectAccelerometeren
dc.subjectstep estimationen
dc.subjectwalking distanceen
dc.title저가형 관성센서를 이용한 개인항법시스템을 위한 보폭 추정 기법en
dc.title.alternativeStep Estimation for Pedestrian Navigation System Using a Low-cost MEMS Sensoren
dc.typeConference Paperen
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