Pedestrian Tracking with Shoe-Mounted Inertial Sensors
IEEE Computer Graphics and Applications
Techniques for Improving Opportunistic Sensor Networking Performance
DCOSS '08 Proceedings of the 4th IEEE international conference on Distributed Computing in Sensor Systems
A step counter service for Java-enabled devices using a built-in accelerometer
Proceedings of the 1st International Workshop on Context-Aware Middleware and Services: affiliated with the 4th International Conference on Communication System Software and Middleware (COMSWARE 2009)
Fine-Grained Evaluation of Local Positioning Systems for Specific Target Applications
UIC '09 Proceedings of the 6th International Conference on Ubiquitous Intelligence and Computing
Development and calibration of a low cost wireless camera sensor network
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Mapping by seeing: wearable vision-based dead-reckoning, and closing the loop
EuroSSC'07 Proceedings of the 2nd European conference on Smart sensing and context
How computer vision can help in outdoor positioning
AmI'07 Proceedings of the 2007 European conference on Ambient intelligence
Sparsetrack: enhancing indoor pedestrian tracking with sparse infrastructure support
INFOCOM'10 Proceedings of the 29th conference on Information communications
PINwI: pedestrian indoor navigation without infrastructure
Proceedings of the 6th Nordic Conference on Human-Computer Interaction: Extending Boundaries
The impact of sensor errors and building structures on particle filter-based inertial positioning
Pervasive and Mobile Computing
Estimating position relation between two pedestrians using mobile phones
Pervasive'12 Proceedings of the 10th international conference on Pervasive Computing
Online pose classification and walking speed estimation using handheld devices
Proceedings of the 2012 ACM Conference on Ubiquitous Computing
International Journal of Handheld Computing Research
Walk detection and step counting on unconstrained smartphones
Proceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing
| Hi-index | 0.00 |
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.