Conference Proceedings
Predicting and Avoiding Dog Barking Behaviour through Deep Learning
Z Li, R Sinnott
ACM International Conference Proceeding Series | ASSOC COMPUTING MACHINERY | Published : 2024
Open access
Abstract
Excessive and intense barking can be a problem for dog owners and households more generally. Dogs can react to (be triggered by) a wide range of environmental noises and situations, e.g., the sound of the postman, the doorbell amongst a whole range of other sounds. In many situations this behaviour results in reprimands and/or punishments, e.g., demands for the dog to be quiet. Veterinary scientists and dog behaviour experts increasingly recognise that dogs respond more positively to positive reinforcement. Thus, instead of shouting at the dog, if the sounds can result in treats being given, then it is possible to change the dog's behaviour, i.e., the dog recognises the sound as a positive a..
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Funding Acknowledgements
The authors would like to thank veterinary scientist Dr Dennis Wormald for the initial ideas behind this work. This research was undertaken using the LIEF HPC-GPGPU Facility (SPARTAN) hosted at the University of Melbourne. This facility was established with the assistance of Australian Government LIEF Grant LE170100200.