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Dog's Life: Wearable Activity Recognition for Dogs

Lookup NU author(s): Dr Cassim Ladha, Nils Hammerla, Professor Patrick OlivierORCiD, Dr Thomas Ploetz

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Abstract

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.

Publication metadata

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

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