다중 센서 데이터 분석을 이용한 동적보정점 결정 기법

Kim, Byoung-Sub;Kim, Jae-Hoon

  • 투고 : 2015.10.21
  • 심사 : 2015.11.30
  • 발행 : 2016.03.31


Focusing on the drastic increase of smart devices, machine generated data expansion is a general phenomenon in network services and IoT (Internet of Things). Especially, built-in multi sensors in a smart device are used for collection of user status and moving data. Combining the internal sensor data and environmental information, we can determine landmarks that decide a pedestrian's locations. We use an ANOVA method to analyze data acquired from multi sensors and propose a landmark classification algorithm. We expect that the proposed algorithm can achieve higher accuracy of indoor-outdoor positioning system for pedestrians.


LBS;Data Analysis;Positioning System;Hybrid Sensors


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연구 과제 주관 기관 : 한국연구재단