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Full Paper

Comparison of activity trackers in estimating canine behaviors

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Received 31 Aug 2023, Accepted 22 Feb 2024, Published online: 28 Apr 2024

References

  • Owens A, Vinkemeier D, Elsheikha H. A review of applications of artificial intelligence in veterinary medicine. Companion Anim. 2023;28:78–85. doi:10.12968/coan.2022.0028a
  • Zanello G, Srinivasan CS, Nkegbe P. Piloting the use of accelerometry devices to capture energy expenditure in agricultural and rural livelihoods: protocols and findings from northern Ghana. Dev Eng. 2017;2:114–131. doi:10.1016/j.deveng.2017.10.001
  • Nathan R, Spiegel O, Fortmann-Roe S, et al. Using tri-axial acceleration data to identify behavioral modes of free-ranging animals: general concepts and tools illustrated for griffon vultures. J Exp Biol. 2012;215:986–996. doi:10.1242/jeb.058602
  • Dalton AJ, Rosen DA, Trites AW. Season and time of day affect the ability of accelerometry and the doubly labeled water methods to measure energy expenditure in northern fur seals (Callorhinus ursinus). J Exp Mar Biol Ecol. 2014;452:125–136. doi:10.1016/j.jembe.2013.12.014
  • Zamansky A, van der Linden D, Hadar I, et al. Log my dog: perceived impact of dog activity tracking. Computer. 2019;52:35–43. doi:10.1109/MC.2018.2889637
  • Väätäjä H, Majaranta P, Isokoski P, et al. Happy dogs and happy owners: using dog activity monitoring technology in everyday life. Proceedings of the Fifth International Conference on Animal-Computer Interaction [Internet]. New York, NY, USA: Association for Computing Machinery; 2018. doi:10.1145/3295598.3295607.
  • Elliott KH. Measurement of flying and diving metabolic rate in wild animals: review and recommendations. Comp Biochem Physiol A Mol Integr Physiol. 2016;202:63–77. doi:10.1016/j.cbpa.2016.05.025
  • Halsey LG, Shepard EL, Wilson RP. Assessing the development and application of the accelerometry technique for estimating energy expenditure. Comp Biochem Physiol A Mol Integr Physiol. 2011;158:305–314. doi:10.1016/j.cbpa.2010.09.002
  • Campbell HA, Gao L, Bidder OR, et al. Creating a behavioural classification module for acceleration data: using a captive surrogate for difficult to observe species. J Exp Biol. 2013;216:4501–4506.
  • Chapa JM, Maschat K, Iwersen M, et al. Accelerometer systems as tools for health and welfare assessment in cattle and pigs – a review. Behav Processes. 2020;181:104262. doi:10.1016/j.beproc.2020.104262
  • Brown DC, Boston RC, Farrar JT. Use of an activity monitor to detect response to treatment in dogs with osteoarthritis. J Am Vet Med Assoc. 2010;237:66–70. doi:10.2460/javma.237.1.66
  • Rhodin M, Bergh A, Gustås P, et al. Inertial sensor-based system for lameness detection in trotting dogs with induced lameness. Vet J. 2017;222:54–59. doi:10.1016/j.tvjl.2017.02.004
  • Helm J, McBrearty A, Fontaine S, et al. Use of accelerometry to investigate physical activity in dogs receiving chemotherapy. J Small Anim Pract. 2016;57:600–609. doi:10.1111/jsap.12587
  • Clarke N, Fraser D. Automated monitoring of resting in dogs. Appl Anim Behav Sci. 2016;174:99–102. doi:10.1016/j.applanim.2015.11.019
  • Westgarth C, Ladha C. Evaluation of an open source method for calculating physical activity in dogs from harness and collar based sensors. BMC Vet Res. 2017;13:1–7. doi:10.1186/s12917-017-1228-8
  • Yam P, Penpraze V, Young D, et al. Validity, practical utility and reliability of actigraph accelerometry for the measurement of habitual physical activity in dogs. J Small Anim Pract. 2011;52:86–91. doi:10.1111/j.1748-5827.2010.01025.x
  • Morrison R, Penpraze V, Beber A, et al. Associations between obesity and physical activity in dogs: a preliminary investigation. J Small Anim Pract. 2013;54:570–574. doi:10.1111/jsap.12142
  • Hansen BD, Lascelles BDX, Keene BW, et al. Evaluation of an accelerometer for at-home monitoring of spontaneous activity in dogs. Am J Vet Res. 2007;68:468–475. doi:10.2460/ajvr.68.5.468
  • Olsen AM, Evans RB, Duerr FM. Evaluation of accelerometer inter-device variability and collar placement in dogs. Vet Evid. 2016;1:1–9. doi:10.18849/ve.v1i2.40
  • den Uijl I, Gómez Álvarez CB, Bartram D, et al. External validation of a collar-mounted triaxial accelerometer for second-by-second monitoring of eight behavioural states in dogs. Plos One. 2017;12:e0188481. doi:10.1371/journal.pone.0188481
  • Yashari JM, Duncan CG, Duerr FM. Evaluation of a novel canine activity monitor for at-home physical activity analysis. BMC Vet Res. 2015;11:1–7. doi:10.1186/s12917-015-0457-y
  • Belda B, Enomoto M, Case B, et al. Initial evaluation of PetPace activity monitor. Vet J. 2018;237:63–68. doi:10.1016/j.tvjl.2018.05.011
  • Colpoys J, DeCock D. Evaluation of the FitBark activity monitor for measuring physical activity in dogs. Animals (Basel). 2021;11:781. doi:10.3390/ani11030781
  • Venkatraman S, Long JD, Pister KSJ, et al. Wireless inertial sensors for monitoring animal behavior. 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Lyon, France; 2007. doi:10.1109/IEMBS.2007.4352303
  • Brugarolas R, Loftin RT, Yang P, et al. Behavior recognition based on machine learning algorithms for a wireless canine machine interface. Silver Spring (MD): IEEE; 2013. p. 1–5.
  • Ladha C, Hammerla N, Hughes E, et al. Dog's life: wearable activity recognition for dogs. UbiComp '13: Proceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing. 2013: 415–418. doi: 10.1145/2493432.2493519
  • Griffies JD, Zutty J, Sarzen M, et al. Wearable sensor shown to specifically quantify pruritic behaviors in dogs. BMC Vet Res. 2018;14:124. doi:10.1186/s12917-018-1428-x
  • Ladha C, Hoffman CL. A combined approach to predicting rest in dogs using accelerometers. Sensors. 2018;18:2649. doi:10.3390/s18082649
  • Moreau M, Siebert S, Buerkert A, et al. Use of a tri-axial accelerometer for automated recording and classification of goats’ grazing behaviour. Appl Anim Behav Sci. 2009;119:158–170. doi:10.1016/j.applanim.2009.04.008
  • Boerema ST, Van Velsen L, Schaake L, et al. Optimal sensor placement for measuring physical activity with a 3D accelerometer. Sensors. 2014;14:3188–3206. doi:10.3390/s140203188
  • Brown DC, Michel KE, Love M, et al. Evaluation of the effect of signalment and body conformation on activity monitoring in companion dogs. Am J Vet Res. 2010;71:322–325. doi:10.2460/ajvr.71.3.322
  • Michel KE, Brown DC. Association of signalment parameters with activity of pet dogs. J Nutr Sci. 2014;3:e28. doi:10.1017/jns.2014.49
  • Morrison R, Penpraze V, Greening R, et al. Correlates of objectively measured physical activity in dogs. Vet J. 2014;199:263–267. doi:10.1016/j.tvjl.2013.11.023
  • Michel KE, Brown DC. Determination and application of cut points for accelerometer-based activity counts of activities with differing intensity in pet dogs. Am J Vet Res. 2011;72:866–870. doi:10.2460/ajvr.72.7.866
  • Jones S, Dowling-Guyer S, Patronek GJ, et al. Use of accelerometers to measure stress levels in shelter dogs. J Appl Anim Welf Sci. 2014;17:18–28. doi:10.1080/10888705.2014.856241
  • Knazovicky D, Tomas A, Motsinger-Reif A, et al. Initial evaluation of nighttime restlessness in a naturally occurring canine model of osteoarthritis pain. PeerJ. 2015;3:e772. doi:10.7717/peerj.772
  • Morrison R, Sutton D, Ramsoy C, et al. Validity and practical utility of accelerometry for the measurement of in-hand physical activity in horses. BMC Vet Res. 2015;11:1–8. doi:10.1186/s12917-015-0550-2
  • Nakas CT, Dalrymple-Alford JC, Anderson TJ, et al. Generalization of Youden index for multiple-class classification problems applied to the assessment of externally validated cognition in Parkinson disease screening. Stat Med. 2013;32:995–1003. doi:10.1002/sim.5592
  • Greiner M, Pfeiffer D, Smith RD. Principles and practical application of the receiver-operating characteristic analysis for diagnostic tests. Prev Vet Med. 2000;45:23–41. doi:10.1016/S0167-5877(00)00115-X
  • Altman DG. Practical statistics for medical research. New York: CRC press; 1990.
  • Yamada M, Tokuriki M. Spontaneous activities measured continuously by an accelerometer in beagle dogs housed in a cage. J Vet Med Sci. 2000;62:443–447. doi:10.1292/jvms.62.443
  • Martin KW, Olsen AM, Duncan CG, et al. The method of attachment influences accelerometer-based activity data in dogs. BMC Vet Res. 2016;13:1–6. doi:10.1186/s12917-017-0971-1