Title
An embedded system for real-time navigation and remote command of a trained canine
Abstract
This paper demonstrates a capability to use a developed embedded sensor suite to consistently track the position, motion behavior, and orientation of a canine. Quantifying and recording canine position and motion in real time provides a useful mechanism for objective analysis of canine trials and missions. We provide a detailed description of the sensor equipment, including the global position satellite (GPS) receiver and antenna, accelerometers, gyroscopes, and magnetometers. Sensors beyond GPS provide for higher frequency readings, a tolerance to GPS loss, and the ability to characterize canine orientation. We demonstrate integrating sensor measurements using an Extended Kalman Filter (EKF) to estimate the canine position and velocity during temporary GPS loss. The system supports the remote actuation of tone and vibration commands and reports commands in real time alongside sensor data. This extends the range at which a handler could monitor a canine and allows enhanced trial analysis using raw sensor data and visualizations. To illustrate the system capabilities, we performed a case study in the remote command and navigation of a trained canine by a professional trainer. The results of this case study are analyzed in terms of canine trial success, motion behavior analysis, and in the context of simulated GPS losses. We discuss other potential applications of the system in autonomous canine command, canine motion analysis, and non-canine applications.
Year
DOI
Venue
2011
10.1007/s00779-010-0298-4
Personal and Ubiquitous Computing
Keywords
Field
DocType
embedded sensor suite,canine trial,canine motion analysis,case study,real time,gps loss,remote command,canine orientation,autonomous canine command,canine augmentation technology sensor navigation sensor aggregation embedded systems canine guidance,canine trial success,real-time navigation,canine position,embedded system,extended kalman filter,behavior analysis
Extended Kalman filter,Satellite,Gyroscope,Computer science,Accelerometer,Real time navigation,Simulation,Global Positioning System,Motion analysis,Vibration,Embedded system
Journal
Volume
Issue
ISSN
15
1
1617-4917
Citations 
PageRank 
References 
11
1.17
4
Authors
5
Name
Order
Citations
PageRank
Winard Britt1173.74
Jeffrey Miller2131.72
Paul Waggoner3111.17
David M. Bevly418827.06
John A. Hamilton , Jr5358.12