TY - GEN
T1 - Precise velocity estimation for dog using its gait
AU - Sakaguchi, Naoki
AU - Ohno, Kazunori
AU - Takeuchi, Eijiro
AU - Tadokoro, Satoshi
N1 - Publisher Copyright:
© Springer International Publishing Switzerland 2015.
PY - 2015
Y1 - 2015
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84958521147&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84958521147&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-07488-7_35
DO - 10.1007/978-3-319-07488-7_35
M3 - Conference contribution
AN - SCOPUS:84958521147
T3 - Springer Tracts in Advanced Robotics
SP - 515
EP - 528
BT - Field and Service Robotics - Results of the 9th International Conference
A2 - Mejias, Luis
A2 - Corke, Peter
A2 - Roberts, Jonathan
A2 - Roberts, Jonathan
PB - Springer Verlag
T2 - 9th International Conference on Field and Service Robotics, FSR 2013
Y2 - 9 December 2013 through 11 December 2013
ER -