Author Correction: Improving gait classification in horses by using inertial measurement unit (IMU) generated data and machine learning

Affiliations

• ¹ Department of Clinical Sciences, Faculty of Veterinary Medicine, Utrecht University, 3584CM , Utrecht, The Netherlands. f.m.serrabraganca@uu.nl.
• ² Division of Robotics, Perception and Learning, KTH Royal Institute of Technology, Stockholm, Sweden.
• ³ Department of Anatomy, Physiology and Biochemistry, Swedish University of Agricultural Sciences, Uppsala, Sweden.
• ⁴ Agricultural University of Iceland, Hvanneyri, Borgarnes, Iceland.
• ⁵ Department of Equine Science, Hólar University College, Hólar, Iceland.
• ⁶ Department of Clinical Sciences, Faculty of Veterinary Medicine, Utrecht University, 3584CM , Utrecht, The Netherlands.
• ⁷ Department of Surgery and Anaesthesiology of Domestic Animals, Faculty of Veterinary Medicine, Ghent University, 9820, Merelbeke, Belgium.
• ⁸ Department of Animal Breeding and Genetics, Swedish University of Agricultural Sciences, 75007, Uppsala, Sweden.
• ⁹ Livestock Genetics, Department of Biosystems, KU Leuven, 3001, Leuven, Belgium.
• ¹⁰ Genética Animal de Colombia Ltda, Bogotá, Colombia.
• ¹¹ Agroscope - Swiss National Stud Farm, Les Longs-Prés, 1580, Avenches, Switzerland.
• ¹² Institute of Genetics, Vetsuisse Faculty, University of Bern, Bremgartenstrasse 109a, 3012, Bern, Switzerland.
• ¹³ Equine Department, Vetsuisse Faculty, University of Zurich, Winterthurerstrasse 260, 8057, Zurich, Switzerland.
• ¹⁴ Inertia Technology B.V, Enschede, The Netherlands.