03068-A: AGILE (AGility Innovations Leveraging Electronics) - An Initial Study of Technology for Quantifying Canine Agility-specific Activity

Grant Status: Open

Grant Amount: $14,677
Arielle Pechette Markley, DVM; The Ohio State University
October 1, 2022 - September 30, 2024

Sponsor(s): Agility Ability of Greater Kansas City

Breed(s): -All Dogs
Research Program Area: Musculoskeletal Conditions and Disease
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Dog agility is an increasingly popular sport in the United States and other countries. Injuries occur in up to 40% of agility dogs. Agility handlers and trainers need a reliable, accurate way to measure and monitor athlete activity. Advances in human- and canine-wearable sensors provide new ways of accurately recognizing and measuring movement, and machine learning techniques can find patterns in movement data to perform activity recognition. For this project, researchers hypothesize that wearable sensor technology paired with machine learning can measure discrete canine agility movements and can automatically recognize and quantify the activities that occur during agility. The goal is to develop a canine-wearable system to recognize agility activity to lay the groundwork for future prospective, hypothesis-driven studies. Future research will measure canine training workload, speed, fatigue, and other parameters to optimize performance, evaluate the relation between training parameters and injury risk, and study injury prevention strategies.


Charles Ramey, Arielle Pechette Markley, Rachel Olson, Aayahna Herbert, Ting-Hui Lin, Brendan Sietz, and Melody Jackson. 2024. AGILE: AGility Innovations Leveraging Electronics. In The Tenth International Conference on Animal-Computer Interaction (ACI '23). Association for Computing Machinery, New York, NY, USA, Article 12, 1–9. https://doi.org/10.1145/3637882.3637889
Ramey C, Mastali A, Muralikrishna A, Starner T, and Jackson MM. 2023. Wireless Sensor Collar for Automatic Recognition of Canine Agility Activities. In Proceedings of the 2023 International Symposium on Wearable Computers (ISWC ’23), October 8–12, 2023, Cancun, Quintana Roo, Mexico. ACM, New York, NY, USA. https://doi.org/10.1145/3594738.3611377
Olson RA, Ramey C, Pechette Markley A, Jackson MM. Evaluation of DeepLabCut for markerless tracking of dogs performing agility behaviours. The 9th International Conference on Canine and Equine Locomotion, Utrecht, The Netherlands 2023. Comp Exerc Physiol 2023;19:S1–64. https://doi.org/10.3920/cep2023.s1.

Pechette Markley A, Olson RA, Ramey C, Jackson MM. Markerless Motion Capture for Evaluation of Biomechanical Strategies in Agility Teeter Performance. The 9th International Conference on Canine and Equine Locomotion, Utrecht, The Netherlands 2023. Comp Exerc Physiol 2023;19:S1–64. https://doi.org/10.3920/cep2023.s1.

“Researching Wearable Technology for Dogs.” Accessed May 24, 2023.https://vet.osu.edu/vmc/agility-dogs-2023?utm_campaign=vme_marketing-activity_fy23&utm_content=1684267671&utm_medium=social&utm_source=facebook

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