Monitoring Harness Trotters in Diverse Cases Using an Online Platform to Collect Synchronised Physiology and Locomotion Data

Files

Access status: Embargo until 2026-07-02 , 978-3-032-13312-0_24.pdf (2.68 MB)

Publication date

2026

Authors

Parmentier, Jeanne I.M.ORCID 0000-0002-3141-8106ISNI 0000000512566551
Aarts, RhanaISNI 0000000517094370
Žgank, Zala
Hernlund, Elin
Marin-Perianu, Raluca
Marin-Perianu, Mihai
Rhodin, Marie

Editors

Durmaz Incel, Özlem
Qin, Jingwen
Bieber, Gerald
Kuijper, Arjan

Advisors

Supervisors

Document Type

Part of book

License

taverne

Abstract

Monitoring horses during training sessions is important to ensure welfare. In most cases, monitoring is limited to the physiological response; however, the locomotory response also provides relevant and complementary information. In this work, we show that the newly developed online platform Varenne, which enables the synchronised collection of physiological and locomotion data, can be used for different circumstances in Standardbred trotters, and we discuss its limitations. The use of such training tools allows not only for performance improvement, health monitoring, and veterinary follow-ups, but also for extensive (research) data collection and thus new knowledge creation. The use of these training tools requires training and expert knowledge in certain domains, possibly limiting their everyday use. Ultimately, the objective quantification of equine physiology and locomotor parameters will enhance the assessment and assurance of welfare in horses.

Keywords

exercise physiology, gait analysis, horses, longitudinal monitoring, welfare, Taverne, Theoretical Computer Science, General Computer Science

Citation

Parmentier, J I M, Aarts, R M, Žgank, Z, Hernlund, E, Marin-Perianu, R, Marin-Perianu, M & Rhodin, M 2026, Monitoring Harness Trotters in Diverse Cases Using an Online Platform to Collect Synchronised Physiology and Locomotion Data. in Ö Durmaz Incel, J Qin, G Bieber & A Kuijper (eds), Sensor-Based Activity Recognition and Artificial Intelligence - 10th International Workshop, iWOAR 2025, Proceedings. Lecture Notes in Computer Science, vol. 16292 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 382-392, 10th International Workshop on Sensor-Based Activity Recognition and Artificial Intelligence, iWOAR 2025, Enschede, Netherlands, 18/09/25. https://doi.org/10.1007/978-3-032-13312-0_24, conference