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Analysis of Agile Canine Gait Characteristics Using Accelerometry

School of Mechanical and Mechatronic Engineering, Faculty of Engineering and IT, University of Technology Sydney, Ultimo, NSW 2007, Australia
Author to whom correspondence should be addressed.
Sensors 2019, 19(20), 4379;
Received: 10 September 2019 / Revised: 30 September 2019 / Accepted: 7 October 2019 / Published: 10 October 2019
(This article belongs to the Special Issue Sensors for Biomechanics Application)
The high rate of severe injuries associated with racing greyhounds poses a significant problem for both animal welfare and the racing industry. Using accelerometry to develop a better understanding of the complex gait of these agile canines may help to eliminate injury contributing factors. This study used a single Inertial Measurement Unit (IMU) equipped with a tri-axial accelerometer to characterise the galloping of thirty-one greyhounds on five different race tracks. The dorsal-ventral and anterior-posterior accelerations were analysed in both the time and frequency domains. The fast Fourier transform (FFT) and Morlet wavelet transform were applied to signals. The time-domain signals were synced with the corresponding high frame rate videos of the race. It was observed that the acceleration peaks in the dorsal-ventral accelerations correspond to the hind-leg strikes which were noted to be fifteen times the greyhound’s weight. The FFT analysis showed that the stride frequencies in all tracks were around 3.5 Hz. The Morlet wavelet analysis also showed a reduction in both the frequency and magnitude of signals, which suggests a speed reduction throughout the race. Also, by detecting abrupt changes along the track, the wavelet analysis highlighted potentially hazardous locations on the track. In conclusion, the methods applied in this research contribute to animal safety and welfare by eliminating the factors leading to injuries through optimising the track design and surface type. View Full-Text
Keywords: accelerometry; wavelet transform; fast fourier transform; canine; gait; greyhounds accelerometry; wavelet transform; fast fourier transform; canine; gait; greyhounds
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MDPI and ACS Style

Hayati, H.; Mahdavi, F.; Eager, D. Analysis of Agile Canine Gait Characteristics Using Accelerometry. Sensors 2019, 19, 4379.

AMA Style

Hayati H, Mahdavi F, Eager D. Analysis of Agile Canine Gait Characteristics Using Accelerometry. Sensors. 2019; 19(20):4379.

Chicago/Turabian Style

Hayati, Hasti; Mahdavi, Fatemeh; Eager, David. 2019. "Analysis of Agile Canine Gait Characteristics Using Accelerometry" Sensors 19, no. 20: 4379.

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