Video-based decision support for behavioral veterinarians: A case study of canine ADHD

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Abstract

In this paper I describe my research agenda as part of an ongoing research project for developing a video-based decision support system for behavioral veterinarians. In their daily practice, such veterinarians diagnose and treat behavioral problems of companion dogs. Since problems such as hyperactivity, anxiety and aggression can greatly compromise the well-being of dogs and their owners, their early diagnosis and treatment may be critical. In their diagnosis, the vets often rely on owner reports and some assessment scales, which are subject to subjectivity. In my research, I investigate ways to provide more objective automatic tools for supporting an assessment of dog behavioral problems, focusing specifically on the problem of canine ADHD as a case study.

Original languageEnglish
Title of host publicationProceedings of the ACM Symposium on Applied Computing
PublisherAssociation for Computing Machinery
Pages782-785
Number of pages4
ISBN (Print)9781450359337
DOIs
StatePublished - 2019
Event34th Annual ACM Symposium on Applied Computing, SAC 2019 - Limassol, Cyprus
Duration: 8 Apr 201912 Apr 2019

Publication series

NameProceedings of the ACM Symposium on Applied Computing
VolumePart F147772

Conference

Conference34th Annual ACM Symposium on Applied Computing, SAC 2019
Country/TerritoryCyprus
CityLimassol
Period8/04/1912/04/19

Bibliographical note

Publisher Copyright:
© 2019 Copyright held by the owner/author(s).

Keywords

  • Computer vision
  • Decision support
  • Healthcare informatics

ASJC Scopus subject areas

  • Software

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