Analysis of Agile Canine Gait Characteristics Using Accelerometry
Hasti Hayati1, Fatemeh Mahdavi2, David Eager3
1School of Mechanical and Mechatronic Engineering, Faculty of Engineering and IT, University of Technology Sydney, Ultimo, NSW 2007, Australia. Hasti.Hayati@uts.edu.au.
Sensors (Basel, Switzerland)
|October 30, 2019
Summary
Accelerometry reveals high impact forces during greyhound racing, potentially causing injuries. Analyzing gait patterns can identify hazardous track conditions, improving canine athlete safety and welfare.
Area of Science:
- Canine biomechanics
- Animal locomotion analysis
- Sports science
Background:
- High injury rates in racing greyhounds impact animal welfare and the industry.
- Understanding greyhound gait is crucial for identifying injury-causing factors.
Purpose of the Study:
- To characterize greyhound galloping using accelerometry.
- To identify injury contributing factors in racing greyhounds.
- To enhance safety and welfare through track optimization.
Main Methods:
- Utilized a tri-axial accelerometer in an Inertial Measurement Unit (IMU).
- Analyzed dorsal-ventral and anterior-posterior accelerations in time and frequency domains.
- Applied Fast Fourier Transform (FFT) and Morlet wavelet transform to gait signals.
- Synchronized time-domain data with high-frame-rate videos.
Main Results:
- Hind-leg strikes generated impact forces up to fifteen times the greyhound's body weight.
- Stride frequencies were consistently around 3.5 Hz across different tracks.
- Wavelet analysis indicated speed reduction during races and identified potentially hazardous track locations.
Conclusions:
- Accelerometry provides valuable insights into greyhound biomechanics during racing.
- Identifying high-impact forces and hazardous track conditions can mitigate injuries.
- Optimizing track design and surface can significantly improve greyhound safety and welfare.
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