Korean Management Science Review (경영과학)

The Korean Operations Research and Management Science Society (한국경영과학회)
권호 표지
DOI QR코드

DOI QR Code

A Dynamic Configuration of Calibration Points using Multidimensional Sensor Data Analysis

다중 센서 데이터 분석을 이용한 동적보정점 결정 기법

  • 김병섭 (한국인터넷진흥원 기반보호팀) ;
  • 김재훈 (아주대학교 산업공학과)
  • Received : 2015.10.21
  • Accepted : 2015.11.30
  • Published : 2016.03.31
Download PDF
⟨ Previous Next ⟩

Abstract

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.

Keywords

References

  1. 김재훈, 강석연, "스마트폰 IMU와 WPS를 결합한 복합 측위 방법론", 한국통신학회논문지, 제38C권, 제8호(2013), pp.663-673
  2. 남윤영, 최유주, 조위덕, "이미지 센서와 3축 가속도센서를 이용한 인간 행동 인식", 한국인터넷 정보학회논문지, 제11권, 제1권(2010), pp.129-141.
  3. 신승혁 외 4명, "MEMS형 관성센서 기반 휴대단말의 장착위치 인식"
  4. 조성윤, 신승혁, 박찬국, "Seamless 보행자 항법을 위한 MEMS 센서 기반 보행 움직임 상황인식 기술 및 결합 항법", Telecommunications Review, 제19권, 제1호(2009), pp.148-164.
  5. Gezici, S., Z. Tian, and G. B. Giannakis, et al., "Localization via Ultra-Wideband Radios," IEEE Signal Processing Magazine, (2005), pp.70-83.
  6. Gu, Y. and A. Lo, "A Survey of Indoor Positioning Systems for Wireless Personal Networks," IEEE Communications Surveys and Tutorials, Vol.11, No.1(2009), pp.13-32. https://doi.org/10.1109/SURV.2009.090103
  7. Jimenez, A.R., et al., "A Comparison of Pedestrian Dead-Reckoning Algorithms using a Low-Cost MEMS IMU," IEEE International Symposium on, (2009), pp.37-42.
  8. King, T., S. Kopf, T. Haenselmann, C. Lubberger, and W. Effelsberg, "COMPASS :A Probabilistic Indoor Positioning System Based on 802.11 and Digital Compasses," Proc. First ACM Intl Workshop on Wireless Network Test-beds, Experimental evaluation and Characterization(WINTECH), Los Angeles, CA, USA, 2006.
  9. Ladetto, Q. et al., "Digital Magnetic Compass and Gyroscope for Dismounted Soldier Position and Navigation," Proc. NATO RTO Symposium on Emerging Military Capabilities Enabled by Advances in Navigation Sensors, Istanbul, Turkey, 2002
  10. Raul, F.A. et al., "Pedestrian tracking using inertial sensors," Journal of Physical Agents, Vol.3, No.1(2009), pp.35-43.
  11. Sen, S., L. Jeongkeun, K. Kyu-Han, and P. Congdon, "Avoiding Multipath to Revive Inbuilding Wi-Fi Localization," MobiSys proceeding on, (2013), pp.249-262.
  12. Wong, C., R. Klukas, and G. Messier, "Using WLAN infrastructure for Angle-of-Arrival indoor User Location," IEEE Conference on, 2008.
  13. Xiong, J. and K. Jamieson, "SecureAngle : Improving Wireless Security Using Angleof-Arrival Information," ACM SIGCOMM Proceeding on, Vol.11(2010), pp.1-6.