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Lookup NU author(s): Dr Cassim Ladha, Nils Hammerla, Professor Patrick OlivierORCiD, Dr Thomas Ploetz
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Health and wellbeing of dogs, either domesticated pets or service animals, are major concerns that are taken seriously for ethical, emotional, and financial reasons. Welfare assessments in dogs rely on objective observations of both frequency and variability of individual behaviour traits, which is often difficult to obtain in a dog’s everyday life. In this pa- per we have identified a set of activities, which are linked to behaviour traits that are relevant for a dog’s wellbeing. We developed a collar-worn accelerometry platform that records dog behaviours in naturalistic environments. A statistical classification framework is used for recognising dog activities. In an experimental evaluation we analysed the naturalistic behaviour of 18 dogs and were able to recognise a total of 17 different activities with approximately 70% classification accuracy. The presented system is the first of its kind that allows for robust and detailled analysis of dog activities in naturalistic environments.
Author(s): Ladha C, Hammerla N, Hughes E, Olivier P, Ploetz T
Publication type: Conference Proceedings (inc. Abstract)
Publication status: Published
Conference Name: ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp)
Year of Conference: 2013
Pages: 415-418
Print publication date: 08/09/2013
Publisher: Association for Computing Machinery
URL: http://dx.doi.org/10.1145/2493432.2493519
DOI: 10.1145/2493432.2493519
Library holdings: Search Newcastle University Library for this item
ISBN: 9781450317702
