TY - GEN
T1 - Indoor positioning system using geomagnetic anomalies for smartphones
AU - Kim, Seong Eun
AU - Kim, Yong
AU - Yoon, Jihyun
AU - Kim, Eung Sun
PY - 2012
Y1 - 2012
N2 - In this paper, we propose an indoor positioning system using smartphones. To localize the position of target that is pedestrian in usual indoors, we make use of perturbations of the geomagnetic field caused by structural steel elements in a building. The system based on magnetic field does not need any physical infrastructure, so it is possible to be realized with low cost. To estimate the target's position using the geomagnetic anomaly, the proposed system measures the magnetic field on its own position using a magnetometer embedded in smartphones and compares the sensor measurement with the magnetic map that has been created for the building in advance. The estimated position is calculated by a stochastic system based on the particle filter. To calculate control inputs for the particle filter, such as moving distance and direction, we exploit the inertial measurement unit (IMU) that is composed of 3-axis accelerometer and gyroscope built in the smartphone. The experimental results show that accuracy is within 3 meter. These results imply the potential to track people in the buildings that have geomagnetic map in advance at the meter scale using only smartphone with embedded sensors.
AB - In this paper, we propose an indoor positioning system using smartphones. To localize the position of target that is pedestrian in usual indoors, we make use of perturbations of the geomagnetic field caused by structural steel elements in a building. The system based on magnetic field does not need any physical infrastructure, so it is possible to be realized with low cost. To estimate the target's position using the geomagnetic anomaly, the proposed system measures the magnetic field on its own position using a magnetometer embedded in smartphones and compares the sensor measurement with the magnetic map that has been created for the building in advance. The estimated position is calculated by a stochastic system based on the particle filter. To calculate control inputs for the particle filter, such as moving distance and direction, we exploit the inertial measurement unit (IMU) that is composed of 3-axis accelerometer and gyroscope built in the smartphone. The experimental results show that accuracy is within 3 meter. These results imply the potential to track people in the buildings that have geomagnetic map in advance at the meter scale using only smartphone with embedded sensors.
KW - earth magnetic field
KW - indoor positioning
KW - inertial measurement
KW - magnetic fingerprinting
KW - particle filter
UR - https://www.scopus.com/pages/publications/84874279759
U2 - 10.1109/IPIN.2012.6418947
DO - 10.1109/IPIN.2012.6418947
M3 - Conference contribution
AN - SCOPUS:84874279759
SN - 9781467319546
T3 - 2012 International Conference on Indoor Positioning and Indoor Navigation, IPIN 2012 - Conference Proceedings
BT - 2012 International Conference on Indoor Positioning and Indoor Navigation, IPIN 2012 - Conference Proceedings
PB - IEEE Computer Society
T2 - 2012 International Conference on Indoor Positioning and Indoor Navigation, IPIN 2012
Y2 - 13 November 2012 through 15 November 2012
ER -