Traveled Distance Estimation Algorithm for Indoor Localization

Abstract This paper presents an ankle mounted Inertial Navigation System (INS) used to estimate the distance traveled by a pedestrian. This distance is estimated by the number of steps given by the user. The proposed method is based on force sensors to enhance the results obtained from an INS. Experimental results have shown that, depending on the step frequency, the traveled distance error varies between 2.7% and 5.6%.

[1]  Robert Harle,et al.  A Survey of Indoor Inertial Positioning Systems for Pedestrians , 2013, IEEE Communications Surveys & Tutorials.

[2]  Abdelsalam Helal,et al.  RFID information grid for blind navigation and wayfinding , 2005, Ninth IEEE International Symposium on Wearable Computers (ISWC'05).

[3]  Neil M Barbour,et al.  Inertial Navigation Sensors , 2010 .

[4]  Kostas E. Bekris,et al.  Indoor Human Navigation Systems: A Survey , 2013, Interact. Comput..

[5]  Hari Balakrishnan,et al.  6th ACM/IEEE International Conference on on Mobile Computing and Networking (ACM MOBICOM ’00) The Cricket Location-Support System , 2022 .

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

[7]  Samuel Pinho Pereira.  Análise e identificação do sinal de aceleração num pé , 2012 .

[8]  Neil Zhao.  Full-Featured Pedometer Design Realized with 3-Axis Digital Accelerometer , 2010 .

[9]  Carl Fischer,et al.  Tutorial:implementation of a pedestrian tracker using foot-mounted inertial sensors , 2013 .

[10]  José A. Gallud,et al.  Using active and passive RFID technology to support indoor location-aware systems , 2008, IEEE Transactions on Consumer Electronics.

[11]  Lino Figueiredo,et al.  Step count algorithm adapted to indoor localization , 2013, C3S2E '13.

[12]  Alex Pentland,et al.  A wearable haptic navigation guidance system , 1998, Digest of Papers. Second International Symposium on Wearable Computers (Cat. No.98EX215).

[13]  Yao-Jen Chang,et al.  A context aware handheld wayfinding system for individuals with cognitive impairments , 2008, Assets '08.

[14]  Anshul Kumar,et al.  Strap-down Pedestrian Dead-Reckoning system , 2011, 2011 International Conference on Indoor Positioning and Indoor Navigation.

[15]  Jeff Bird,et al.  Indoor navigation with foot-mounted strapdown inertial navigation and magnetic sensors [Emerging Opportunities for Localization and Tracking] , 2011, IEEE Wireless Communications.

[16]  Young Soo Suh,et al.  Pedestrian inertial navigation with gait phase detection assisted zero velocity updating , 2000, 2009 4th International Conference on Autonomous Robots and Agents.

[17]  A. D. King,et al.  Inertial Navigation - Forty Years of Evolution , 1998 .

[18]  Andy Hopper,et al.  The active badge location system , 1992, TOIS.

[19]  K. V. S. Hari,et al.  Foot-mounted INS for everybody - an open-source embedded implementation , 2012, Proceedings of the 2012 IEEE/ION Position, Location and Navigation Symposium.

[20]  T. Judd,et al.  Use of a new pedometric dead reckoning module in GPS denied environments , 2008, 2008 IEEE/ION Position, Location and Navigation Symposium.

[21]  Gert F. Trommer,et al.  Deeply Coupled GPS/INS integration in pedestrian navigation systems in weak signal conditions , 2012, 2012 International Conference on Indoor Positioning and Indoor Navigation (IPIN).

[22]  Giuseppe Anastasi,et al.  Experimenting an indoor bluetooth-based positioning service , 2003, 23rd International Conference on Distributed Computing Systems Workshops, 2003. Proceedings..

[23]  Oliver J. Woodman,et al.  An introduction to inertial navigation , 2007 .

[24]  G. Schmidt,et al.  Inertial sensor technology trends , 2001 .

[25]  Josef Hallberg,et al.  Positioning with Bluetooth , 2003, 10th International Conference on Telecommunications, 2003. ICT 2003..

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

[27]  Constantinos Christou Saflianis.  Inertial navigation systems aided by G.P.S. , 1982 .