Machine learning based canine posture estimation using inertial data

The aim of this study was to design a new canine posture estimation system specifically for working dogs. The system was composed of Inertial Measurement Units (IMUs) that are commercially available, and a supervised learning algorithm which was developed for different behaviours. Three IMUs, each c...

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Veröffentlicht in:	PloS one Jg. 18; H. 6; S. e0286311
Hauptverfasser:	Marcato, Marinara, Tedesco, Salvatore, O’Mahony, Conor, O’Flynn, Brendan, Galvin, Paul
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States Public Library of Science 21.06.2023 Public Library of Science (PLoS)
Schlagworte:	Accelerometers Accuracy Algorithms Analysis Animal training Animals Arthritis Artificial intelligence Behavior Biology and Life Sciences Cameras Chest Classification Computer and Information Sciences Data collection Data mining Datasets Design Dogs Domains Engineering and Technology Evacuations & rescues Feature extraction Guide dogs Gyroscopes Harnesses Inertial platforms Learning algorithms Machine Learning Model testing Osteoarthritis Performance enhancement Physical Sciences Physiological aspects Police dogs Posture Random Forest Recovery (Medical) Research and Analysis Methods Sensors Service animals Service dogs Social Sciences Spectral methods Statistics Supervised learning Variance analysis Walking Zoological research Ireland United Kingdom
ISSN:	1932-6203, 1932-6203
Online-Zugang:	Volltext
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