Localization of Walking or Running User with Wearable 3D Position Sensor

This paper describes a new method of measuring position of running user for location-based services in wide indoor environments, such as augmented reality navigation system with wearable computer. Conventional localization methods usually employ a hybrid approach in which user's position is estimated bv combining positioning infrastructures and a pedometer. Since the installation cost of infrastructures increases when the area expands, the measurement Figure Illustration summing up step method of user's relative position with high accuracy is required. Although a numder of methods using a pedometer have been developed to improve the estimation accuracy, these methods generally can handle only usual walking behavior of a user. This paper proposes a new real time localization method for both walking and running users by using a wearable electromagnetic tracker and an inertial sensor. The proposed localization method estimates a moving distance in the period when both legs do not ground by estimating a velocity of waist when user's leg leaves. Experiments have been carried out using a prototype system to evaluate the accuracy of user localization with the proposed

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

[2]  Steven K. Feiner,et al.  Exploring MARS: developing indoor and outdoor user interfaces to a mobile augmented reality system , 1999, Comput. Graph..

[3]  Eric Foxlin,et al.  Circular data matrix fiducial system and robust image processing for a wearable vision-inertial self-tracker , 2002, Proceedings. International Symposium on Mixed and Augmented Reality.

[4]  Kenji Mase,et al.  Activity and Location Recognition Using Wearable Sensors , 2002, IEEE Pervasive Comput..

[5]  Ronald Azuma,et al.  A motion-stabilized outdoor augmented reality system , 1999, Proceedings IEEE Virtual Reality (Cat. No. 99CB36316).

[6]  Katsuhiko Sakaue,et al.  A panorama-based method of personal positioning and orientation and its real-time applications for wearable computers , 2001, Proceedings Fifth International Symposium on Wearable Computers.

[7]  Naokazu Yokoya,et al.  Wearable augmented reality system using invisible visual markers and an IR camera , 2005, Ninth IEEE International Symposium on Wearable Computers (ISWC'05).

[8]  Gaetano Borriello,et al.  Location Systems for Ubiquitous Computing , 2001, Computer.

[9]  Laehyun Kim,et al.  Haptic interaction and volume modeling techniques for realistic dental simulation , 2006, The Visual Computer.

[10]  Naokazu Yokoya,et al.  A wearable augmented reality system using positioning infrastructures and a pedometer , 2003, Seventh IEEE International Symposium on Wearable Computers, 2003. Proceedings..

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

[12]  Tsutomu Terada,et al.  An event-driven wearable system for supporting motorbike racing teams , 2004, Eighth International Symposium on Wearable Computers.

[13]  Didier Stricker,et al.  Archeoguide: An Augmented Reality Guide for Archaeological Sites , 2002, IEEE Computer Graphics and Applications.

[14]  Naokazu Yokoya,et al.  Shared database of annotation information for wearable augmented reality system , 2004, IS&T/SPIE Electronic Imaging.

[15]  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..

[16]  Steven K. Feiner,et al.  BRIDGING THE GAPS: HYBRID TRACKING FOR ADAPTIVE MOBILE AUGMENTED REALITY , 2004, Appl. Artif. Intell..

[17]  Naokazu Yokoya,et al.  Nara Palace Site Navigator: Device-Independent Human Navigation Using a Networked Shared Database , 2004 .

[18]  Naokazu Yokoya,et al.  User Localization Using Wearable Electromagnetic Tracker and Orientation Sensor , 2006, 2006 10th IEEE International Symposium on Wearable Computers.

[19]  Hideo Fujimoto,et al.  Construction and Validity Evaluation of a Dentistry Medical Treatment Training System for a Virtual Patient , 2004 .