Precise velocity estimation for dog using its gait

Naoki Sakaguchi, Kazunori Ohno, Eijiro Takeuchi, Satoshi Tadokoro

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

We aimed to record and visualize the investigation activities of search and rescue dogs. The dog’s trajectory is required to create this visualization, and the dog’s velocity needs to be determined to estimate its trajectory. In this study, we examined a method for velocity estimation that uses a dog’s gait. We measured a Labrador dog’s gaits (walk and trot) and analyzed the gait data. From the gait data, we found that there are cyclic moments when the dog’s velocity vector faces its heading direction. This fact enables the reconstruction of the velocity vector v =(vx, vy, vz)T from the dog’s speed |v| and pose. We devised a precise estimation method for a dog’s velocity and evaluated its accuracy. From the evaluation results, we confirmed that the gait-based velocity estimation was more accurate than velocity estimation based on the extended Kalman filter when |v| was obtained at 1, 5, and 10 Hz. This result can pave the way for using a mobile phone to estimate a dog’s trajectory.

Original languageEnglish
Title of host publicationField and Service Robotics - Results of the 9th International Conference
EditorsLuis Mejias, Peter Corke, Jonathan Roberts, Jonathan Roberts
PublisherSpringer-Verlag
Pages515-528
Number of pages14
ISBN (Electronic)9783319074870
DOIs
Publication statusPublished - 2015 Jan 1
Event9th International Conference on Field and Service Robotics, FSR 2013 - Brisbane, Australia
Duration: 2013 Dec 92013 Dec 11

Publication series

NameSpringer Tracts in Advanced Robotics
Volume105
ISSN (Print)1610-7438
ISSN (Electronic)1610-742X

Other

Other9th International Conference on Field and Service Robotics, FSR 2013
CountryAustralia
CityBrisbane
Period13/12/913/12/11

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Artificial Intelligence

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