Personal position measurement using dead reckoning

This paper compares position measurement techniquesusing dead reckoning. We are seeking to find a techniquewhich is suitable for use by pedestrians, and have compareda number of sensors that can be used to achieve a robustand accurate dead reckoning system. All our techniquesare step based. To measure steps we have compared the useof pedometers and accelerometers. To determine headingwe have compared two and three dimensional compassesand a rate gyroscope. Finally we have performed four casestudies based on real applications with standard deviationmeasured at 2.2m for a short test and 19.9m for an extendedtest. These errors can be reduced by using more computationallyexpensive filtering operations.

[1]  Eric Foxlin,et al.  An inertial head-orientation tracker with automatic drift compensation for use with HMD's , 1994 .

[2]  Greg Welch,et al.  Motion Tracking: No Silver Bullet, but a Respectable Arsenal , 2002, IEEE Computer Graphics and Applications.

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

[4]  Frederick P. Brooks,et al.  Walkthrough—a dynamic graphics system for simulating virtual buildings , 1987, I3D '86.

[5]  TruckenbrodJoan.  IEEE international symposium on wearable computers , 1998 .

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

[7]  Michael Beigl,et al.  A Wearable Context-Awareness Component , 1999 .

[8]  Albrecht Schmidt,et al.  A wearable context-awareness component. Finally a good reason to wear a tie , 1999, Digest of Papers. Third International Symposium on Wearable Computers.

[9]  Eduardo Nebot,et al.  Sensors Used for Autonomous Navigation , 1999 .

[10]  Shigeru Nakamura,et al.  A Wearable Attitude-Measurement System Using a Fiberoptic Gyroscope , 2002, Presence: Teleoperators & Virtual Environments.

[11]  Y Schutz,et al.  Measurement of the mechanical power of walking by satellite positioning system (GPS). , 2001, Medicine and science in sports and exercise.

[12]  A. Kuo.  A simple model of bipedal walking predicts the preferred speed-step length relationship. , 2001, Journal of biomechanical engineering.

[13]  Steven K. Feiner,et al.  Situated documentaries: embedding multimedia presentations in the real world , 1999, Digest of Papers. Third International Symposium on Wearable Computers.

[14]  Per Johan Slycke,et al.  Towards automatic optimization of gait supported by a two channel implantable drop foot stimulator , 2001 .

[15]  Gerald P. Roston,et al.  Dead Reckoning Navigation For Walking Robots , 1992, Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems.

[16]  Henk L. Muller,et al.  The Well Mannered Wearable Computer , 2002, Personal and Ubiquitous Computing.

[17]  A. Kuo,et al.  Active control of lateral balance in human walking. , 2000, Journal of biomechanics.

[18]  Matthew Chalmers,et al.  Lessons from the lighthouse: collaboration in a shared mixed reality system , 2003, CHI '03.

[19]  Mel Slater,et al.  The Virtual Treadmill: A Naturalistic Metaphor for Navigation in Immersive Virtual Environments , 1995, Virtual Environments.