Jessica Maria Echterhoff
Juan Haladjian
ABSTRACT
In modern showjumping and cross-country riding, the success of the horse-rider-pair is measured by the ability to finish a given course of obstacles without penalties within a given time. A horse performs a successful (penalty-free) jump, if no element of the fence falls during the jump. The success of each jump is determined by the correct take-off point of the horse in front of the fence and the amount of strides a horse does between fences. This paper proposes a solution for tracking gaits and jumps using a smartphone attached to the horse's saddle. We propose an event detection algorithm based on Discrete Wavelet Transform and a peak detection to detect jumps and canter strides between fences. We segment the signal to find gait and jump sections, evaluate statistical and heuristic features and classify the segments using different machine learning algorithms. We show that horse jumps and canter strides are detected with a precision of 94.6% and 89.8% recall. All gaits and jumps are further classified with an accuracy of up to 95.4% and a Kappa coefficient (KC) of up to 93%.
- E. Barrey and P. Galloux. 1997. Analysis of the equine jumping technique by accelerometry. Equine Veterinary Journal 29, 23 (1997), 45--49.Google Scholar
- J. Haladjian, B. Brügge, and S. Nüske. 2017. An approach for early lameness detection in dairy cattle. In Proceedings of the 2017 ACM International Symposium on Wearable Computers. ACM, 53--56. Google ScholarDigital Library
- J. Haladjian, J. Haug, S. Nüske, and B. Bruegge. 2018. A wearable sensor system for lameness detection in dairy cattle. Multimodal Technologies and Interaction 2, 2 (2018), 27.Google ScholarCross Ref
- A. Hill, A. Slamka, Y. Morton, M. Miller, and J. Campbell. 2007. A real-time position, velocity, and physiological monitoring and tracking device for equestian and race training. In Proceedings of the ION GNSS.Google Scholar
- M. Jackson, G. Zeagler, C. and Valentin, A. Martin, V. Martin, A. Delawalla, W. Blount, S. Eiring, R. Hollis, Y. Kshirsagar, and T. Starner. 2013. FIDO-facilitating interactions for dogs with occupations: wearable dog-activated interfaces. In Proceedings of the 2013 International Symposium on Wearable Computers. ACM, 81--88. Google ScholarDigital Library
- C. Ladha, N. Hammerla, E. Hughes, P. Olivier, and T. Plötz. 2013. Dog's life: Wearable activity recognition for dogs. In Proceedings of the 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing. ACM, 415--418. Google ScholarDigital Library
- J. Li, Z. Wang, J. Wang, H. Zhao, S. Qiu, and M. Guo. 2017. Study on the attitude of equestrian sport based on body sensor network. In 2017 IEEE International Conference on Systems, Man, and Cybernetics. IEEE, 3653--3658.Google Scholar
- J. Low, V. Mak, B. Forbes, F. Sepulveda, and C. Yeow. 2016. Development of a wearable gait detection system for racehorses. In ISBS-Conference Proceedings Archive, Vol. 33.Google Scholar
- M. Patterson, J. Doyle, E. Cahill, B. Caulfield, and U. Persson. 2010. Quantifying show jumping horse rider expertise using IMUs. In Engineering in Medicine and Biology Society, 2010 Annual International Conference of the IEEE. IEEE, 684--687.Google Scholar
- R. Thompson, I. Kyriazakis, A. Holden, P. Olivier, and T. Plötz. 2015. Dancing with horses: Automated quality feedback for dressage riders. In Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing. ACM, 325--336. Google ScholarDigital Library
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