Classification of Horse Gaits Using FCM-Based Neuro-Fuzzy Classifier from the Transformed Data Information of Inertial Sensor

Classification of Horse Gaits Using FCM-Based Neuro-Fuzzy Classifier from the Transformed Data Information of Inertial Sensor

In this study, we classify four horse gaits (walk, sitting trot, rising trot, canter) of three breeds of horse (Jeju, Warmblood, and Thoroughbred) using a neuro-fuzzy classifier (NFC) of the Takagi-Sugeno-Kang (TSK) type from data information transformed by a wavelet packet (WP). The design of the N...

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Bibliographic Details
Main Authors: Jae-Neung Lee, Myung-Won Lee, Yeong-Hyeon Byeon, Won-Sik Lee, Keun-Chang Kwak
Format: Article
Language:English
Published: MDPI AG 2016-05-01
Series:Sensors
Subjects:
classification of horse gaits
neuro-fuzzy classifier
fuzzy c-means clustering
inertial sensor
horse riding coaching
Online Access:http://www.mdpi.com/1424-8220/16/5/664

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http://www.mdpi.com/1424-8220/16/5/664

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