Personal navigation via shoe mounted inertial measurement units

We are developing a personal micronavigation system that uses high-resolution gait-corrected inertial measurement units. The goal of this project is to develop a navigation system that use secondary inertial variables, such as velocity, to enable long-term precise navigation in the absence of Global Positioning System (GPS) and beacon signals. In this scheme, measured zero velocity durations from the ground reaction sensors are used to reset the accumulated integration errors from the accelerometers and gyroscopes in position calculation. We achieved an average position error of 4 meters at the end of half-hour walks.

[1]  Eric Foxlin,et al.  Pedestrian tracking with shoe-mounted inertial sensors , 2005, IEEE Computer Graphics and Applications.

[2]  Jussi Suomela,et al.  Personal navigation system , 2004, 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE Cat. No.04CH37566).

[3]  Johann Borenstein,et al.  Non-GPS navigation with the personal dead-reckoning system , 2007, SPIE Defense + Commercial Sensing.

[4]  S. Marocco,et al.  Classification of plantar pressure and heel acceleration patterns using neural networks , 2005, Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005..

[5]  Piotr Ptasinski,et al.  A method for dead reckoning parameter correction in pedestrian navigation system , 2003, IEEE Trans. Instrum. Meas..

[6]  Jussi Collin,et al.  AN INNOVATIVE SHOE-MOUNTED PEDESTRIAN NAVIGATION SYSTEM , 2003 .

[7]  C. Tom Judd,et al.  A Personal Dead Reckoning Module , 1997 .

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

[9]  M Lord,et al.  Pressure redistribution by molded inserts in diabetic footwear: a pilot study. , 1994, Journal of rehabilitation research and development.

[10]  Np Palastanga Ma Ba Mcsp Dms Dip Tp Human Movement An introductory text , 1997 .

[11]  Ming Zhang,et al.  Three-dimensional finite element analysis of the foot during standing--a material sensitivity study. , 2005, Journal of biomechanics.

[12]  Henk L. Muller,et al.  Personal position measurement using dead reckoning , 2003, Seventh IEEE International Symposium on Wearable Computers, 2003. Proceedings..

[13]  John M. Elwell,et al.  Inertial navigation for the urban warrior , 1999, Defense, Security, and Sensing.

[14]  T. J. Brand,et al.  Foot-to-Foot Range Measurement as an Aid to Personal Navigation , 2003 .

[15]  J. Borenstein,et al.  Non-GPS Navigation for Security Personnel and First Responders , 2007, Journal of Navigation.

[16]  J. Borenstein,et al.  Heuristic Reduction of Gyro Drift for Personnel Tracking Systems , 2009 .

[17]  B. Anderson,et al.  Digital control of dynamic systems , 1981, IEEE Transactions on Acoustics, Speech, and Signal Processing.

[18]  Takeshi Kurata,et al.  Personal positioning based on walking locomotion analysis with self-contained sensors and a wearable camera , 2003, The Second IEEE and ACM International Symposium on Mixed and Augmented Reality, 2003. Proceedings..

[19]  Johann Borenstein,et al.  Non-GPS Navigation for Emergency Responders , 2006 .

[20]  Wei-Wen Kao,et al.  Integration of GPS and dead-reckoning navigation systems , 1991, Vehicle Navigation and Information Systems Conference, 1991.

[21]  Ting Zhang,et al.  The principle of non-sensor dead reckoning , 2005, Proceedings. 2005 IEEE International Geoscience and Remote Sensing Symposium, 2005. IGARSS '05..

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

[23]  Gyu-In Jee,et al.  Compensation of gyroscope errors and GPS/DR integration , 1996, Proceedings of Position, Location and Navigation Symposium - PLANS '96.