Strap-down Pedestrian Dead-Reckoning system

This paper presents a waist-worn Pedestrian Dead Reckoning (PDR) System that requires minimal end-user calibration. The PDR system is based on an Inertial Measurement Unit (IMU) comprising of a tri-axial accelerometer, a tri-axial magnetometer and a tri-axial gyroscope. We propose a novel heading estimation scheme using a quaternion-based extended Kalman filter (EKF) that estimates magnetic disturbances and corrects for them. Accelerometer measurements are used to detect step events and to estimate step lengths. Experimental results show that a relative distance error of about 3% to 8% can be obtained using our methods.

[1]  Peter H. Veltink,et al.  Inertial and magnetic sensing of human movement near ferromagnetic materials , 2003, The Second IEEE and ACM International Symposium on Mixed and Augmented Reality, 2003. Proceedings..

[2]  Stéphane Beauregard,et al.  Omnidirectional Pedestrian Navigation for First Responders , 2007, 2007 4th Workshop on Positioning, Navigation and Communication.

[3]  H. Weinberg.  Using the ADXL202 in Pedometer and Personal Navigation Applications , 2002 .

[4]  Dong-Hwan Hwang,et al.  A Step, Stride and Heading Determination for the Pedestrian Navigation System , 2004 .

[5]  John A. Crowe,et al.  Numerical double integration of acceleration measurements in noise , 2004 .

[6]  Lucila Patino-Studencki,et al.  Comparison and evaluation of acceleration based step length estimators for handheld devices , 2010, 2010 International Conference on Indoor Positioning and Indoor Navigation.

[7]  John Weston,et al.  Strapdown Inertial Navigation Technology, Second Edition , 2005 .

[8]  Wiebren Zijlstra,et al.  Assessment of spatio-temporal parameters during unconstrained walking , 2004, European Journal of Applied Physiology.

[9]  J. Kuipers.  Quaternions and Rotation Sequences , 1998 .

[10]  M. E. Cannon,et al.  Integrated GPS/INS System for Pedestrian Navigation in a Signal Degraded Environment , 2006 .

[11]  Chan Gook Park,et al.  MEMS Based Pedestrian Navigation System , 2005 .

[12]  Angelo M. Sabatini,et al.  Quaternion-based extended Kalman filter for determining orientation by inertial and magnetic sensing , 2006, IEEE Transactions on Biomedical Engineering.

[13]  R. Alonso,et al.  Pedestrian tracking using inertial sensors , 2009 .

[14]  D. Titterton,et al.  Strapdown inertial navigation technology - 2nd edition - [Book review] , 2005, IEEE Aerospace and Electronic Systems Magazine.

[15]  Y. K. Thong,et al.  Dependence of inertial measurements of distance on accelerometer noise , 2002 .

[16]  S. Godha,et al.  Foot mounted inertial system for pedestrian navigation , 2008 .

[17]  John Weston,et al.  Strapdown Inertial Navigation Technology , 1997 .

[18]  Carsten Isert,et al.  Self-contained indoor positioning on off-the-shelf mobile devices , 2010, 2010 International Conference on Indoor Positioning and Indoor Navigation.

[19]  F. Seco,et al.  A comparison of Pedestrian Dead-Reckoning algorithms using a low-cost MEMS IMU , 2009, 2009 IEEE International Symposium on Intelligent Signal Processing.

[20]  A. Hof,et al.  Displacement of the pelvis during human walking: experimental data and model predictions , 1997 .

[21]  Sylvie Lamy-Perbal,et al.  An improved shoe-mounted inertial navigation system , 2010, 2010 International Conference on Indoor Positioning and Indoor Navigation.