가속도 센서를 이용한 보행 정보 및 보행자 위치 추정
Pedestrian Gait Estimation and Localization using an Accelerometer
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초록
This paper presents the use of 3 axis accelerometer for getting the gait information including the number of gaits, stride and walking distance. Travel distance is usually calculated from the double integration of the accelerometer output with respect to time; however, the accumulated errors due to the drift are inevitable. The orientation change of the accelerometer also causes error because the gravity is added to the measured acceleration. Unless three axis orientations are completely identified, the accelerometer alone does not provide correct acceleration for estimating the travel distance. We proposed a way of minimizing the error due to the change of the orientation. Pedestrian localization is implemented with the heading angle and the travel distance. Heading angle is estimated from the rate gyro and the magnetic compass measurements. The performance of the localization is presented with experimental data.
Abstract
This paper presents the use of 3 axis accelerometer for getting the gait information including the number of gaits, stride and walking distance. Travel distance is usually calculated from the double integration of the accelerometer output with respect to time; however, the accumulated errors due to the drift are inevitable. The orientation change of the accelerometer also causes error because the gravity is added to the measured acceleration. Unless three axis orientations are completely identified, the accelerometer alone does not provide correct acceleration for estimating the travel distance. We proposed a way of minimizing the error due to the change of the orientation. Pedestrian localization is implemented with the heading angle and the travel distance. Heading angle is estimated from the rate gyro and the magnetic compass measurements. The performance of the localization is presented with experimental data.
참고문헌 (13)
- 이성호, "위치기반서비스 기술동향", 전자통신 동향분석, 20(3), pp.33~42 (2005)
- Jeroen D. Holy, "Tightly Coupled UWB", IMU Pose Estimation, 2009, ~
- Raúl Feliz, "Pedestrian tracking using inertial sensors", Journal of Physical Agents, 3(1), pp.35~42 (2009)
- Dorota A. Grejner-Brzezinska, "Multi-Sensor Personal Navigator Supported by Human Motion Dynamics Model", 3rd IAG, 2006, ~
- L. Ojeda, "Non-GPS Navigation for Security Personnel and First Responders", Journal of Navigation, 60(3), pp.391~407 (2007)
- Stephane Beauregard, "A Helmet-Mounted Pedestrian Dead Reckoning System", 3rd International Forum on Applied Wearable Computing (IFAWC 2006), pp.79~89 (2006)
- M. Kourogi, "Indoor", Outdoor Pedestrian Navigation with an Embedded GPS, IEIC Technical Report (Institute of Electronics, Information and Communication Engineers), pp.2006, 106[DOI]
- J. Won Kim, "A Step, Stride and Heading Determination for the Pedestrian Navigation System", Journal of Global Positioning Systems, 3(1), pp.273~279 (2004)
- S.H. Shin, "Adaptive step length estimation algorithm using low-cost MEMS inertial sensors", IEEE Sensor Applications Symposium (2007)
- P.L.Schneider, "Accuracy and Reliability of 10 Pedometers for Measuring Steps over a 400-m Walk", Medicine & Science in Sports & Exercise, 35(10), pp.1779~1784 (2003)
- J. Saarinen, "Personal navigation system", International Conference on Intelligent Robots and Systems(IEEE, 2004, pp.통권 : 1, 212~217
- Huisung Kim, "Indoor Pedestrian Localization System for Location based Service", The 6th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI 2009), pp.499~503 (2009)
- 이민영, "위치기반서비스를 위한 보행자의 위치추정", 한국차세대컴퓨팅학회 논문지, 5(4), pp.43~48 (2009), 한국차세대컴퓨팅학회