A1 Journal article (refereed)
Comparison of activity trackers in estimating canine behaviors (2024)

Kujala, M., Valldeoriola Cardó, A., Somppi, S., Törnqvist, H., Inkilä, L., Koskela, A., Myller, A., Väätäjä, H., Isokoski, P., Majaranta, P., Surakka, V., Vainio, O., & Vehkaoja, A. (2024). Comparison of activity trackers in estimating canine behaviors. Advanced robotics, Early online. https://doi.org/10.1080/01691864.2024.2343080

JYU authors or editors

Publication details

All authors or editors: Kujala, Miiamaaria, V.; Valldeoriola Cardó, Anna; Somppi, Sanni; Törnqvist, Heini; Inkilä, Leena; Koskela, Aija; Myller, Anne; Väätäjä, Heli; Isokoski, Poika; Majaranta, Päivi; et al.

Journal or series: Advanced robotics

ISSN: 0169-1864

eISSN: 1568-5535

Publication year: 2024

Publication date: 28/04/2024

Volume: Early online

Publisher: Taylor & Francis

Publication country: Netherlands

Publication language: English

DOI: https://doi.org/10.1080/01691864.2024.2343080

Publication open access: Openly available

Publication channel open access: Partially open access channel

Publication is parallel published (JYX): https://jyx.jyu.fi/handle/123456789/94604

Abstract

Classifying behavior by tracking acceleration has received increased interest lately. Here, we evaluated the performance of three commercial activity trackers in differentiating seven dog behaviors. Adult companion dogs (N = 70) performed still (lying, sitting, standing) and dynamic (walking, sniffing, trotting, playing) tasks, while wearing ActiGraph GT9X Link, Kaunila and FitBark devices placed on the neck collar and ActiGraph GT9X Link placed on the back. Each task was performed for 3 min within a session and repeated in two sessions; the behaviors were confirmed from video recordings. Activity scores of devices were calculated as median values for behavioral differentiation, and as minute-based values for inter-device correlations and cutoff analysis. Measurements of all devices correlated with each other, and median activity scores of all devices − unaffected by dog age, weight or sex − differentiated the still from dynamic behaviors. Dynamic behaviors were also differentiated from each other, with exception of walking vs. sniffing by back-placed ActiGraph GT9X and Kaunila. The definition of cutoffs between behaviors varied from moderate to high accuracy; defined cutoffs for standing and walking were the least accurate. The classification performance of the cutoffs had an accuracy of 80% in all the devices; thus, they performed reasonably well in classifying these behaviors.

Keywords: activity (properties); tracking; monitoring; dog; pets; motion analysis; behaviour analysis; acceleration

Free keywords: companion dog; accelerometer; activity tracking; behavioral differentiation

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Related projects

Ministry reporting: Yes

Reporting Year: 2024

Preliminary JUFO rating: 1