HABIT: Horse Automated Behaviour Identification Tool: a position paper

HABIT (Horse Automated Behaviour Identification Tool) is an Animal Computer Interaction (ACI) project, on the interdisciplinary boundary between equitation science and computer science. HABIT will automate the analysis and recognition of horse-to-horse and horse-to-human behaviours, as observed in u...

Full description

Bibliographic Details
Main Authors: North, Steve, Hall, Carol, Roshier, Amanda L., Mancini, Clara
Format: Conference or Workshop Item
Language:English
Published: BCS 2015
Subjects:
Online Access:https://eprints.nottingham.ac.uk/29225/
_version_ 1848793742121631744
author North, Steve
Hall, Carol
Roshier, Amanda L.
Mancini, Clara
author_facet North, Steve
Hall, Carol
Roshier, Amanda L.
Mancini, Clara
author_sort North, Steve
building Nottingham Research Data Repository
collection Online Access
description HABIT (Horse Automated Behaviour Identification Tool) is an Animal Computer Interaction (ACI) project, on the interdisciplinary boundary between equitation science and computer science. HABIT will automate the analysis and recognition of horse-to-horse and horse-to-human behaviours, as observed in unconstrained / ad-hoc video. A horse-to-horse dyad video dataset will be compiled, illustrating exemplar behaviours. Behavioural signatures will be manually identified from video. Next, a system will be developed and trained to recognise these signatures. The tool will then be evaluated, when applied to both horse-to-horse and horse-to-human video clips. In the study of animal behaviour, an ‘ethogram’ is a set of comprehensive descriptions of the characteristic behaviour patterns of a species. HABIT is potentially the first step towards the ‘automated ethogram’. This project provides a welfare-orientated approach to evaluating horse behaviours. When horses are handled, trained or ridden, HABIT will help ensure that these experiences occur within the natural repertoire of equine behaviours. There is also scope to engage and educate the public about horse behaviours; both for general interest and to raise welfare-awareness. Additionally, automation could play an important methodological role in animal-centred design by reducing human biases during the requirements and evaluation processes.
first_indexed 2025-11-14T19:05:08Z
format Conference or Workshop Item
id nottingham-29225
institution University of Nottingham Malaysia Campus
institution_category Local University
language English
last_indexed 2025-11-14T19:05:08Z
publishDate 2015
publisher BCS
recordtype eprints
repository_type Digital Repository
spelling nottingham-292252020-05-08T11:45:59Z https://eprints.nottingham.ac.uk/29225/ HABIT: Horse Automated Behaviour Identification Tool: a position paper North, Steve Hall, Carol Roshier, Amanda L. Mancini, Clara HABIT (Horse Automated Behaviour Identification Tool) is an Animal Computer Interaction (ACI) project, on the interdisciplinary boundary between equitation science and computer science. HABIT will automate the analysis and recognition of horse-to-horse and horse-to-human behaviours, as observed in unconstrained / ad-hoc video. A horse-to-horse dyad video dataset will be compiled, illustrating exemplar behaviours. Behavioural signatures will be manually identified from video. Next, a system will be developed and trained to recognise these signatures. The tool will then be evaluated, when applied to both horse-to-horse and horse-to-human video clips. In the study of animal behaviour, an ‘ethogram’ is a set of comprehensive descriptions of the characteristic behaviour patterns of a species. HABIT is potentially the first step towards the ‘automated ethogram’. This project provides a welfare-orientated approach to evaluating horse behaviours. When horses are handled, trained or ridden, HABIT will help ensure that these experiences occur within the natural repertoire of equine behaviours. There is also scope to engage and educate the public about horse behaviours; both for general interest and to raise welfare-awareness. Additionally, automation could play an important methodological role in animal-centred design by reducing human biases during the requirements and evaluation processes. BCS 2015-07-13 Conference or Workshop Item PeerReviewed application/pdf en https://eprints.nottingham.ac.uk/29225/1/HABIT-position%20paper.pdf North, Steve, Hall, Carol, Roshier, Amanda L. and Mancini, Clara (2015) HABIT: Horse Automated Behaviour Identification Tool: a position paper. In: ACI@BHCI (Animal Computer Interaction Workshop), British HCI 2015, 13-17 July 2015, University of Lincoln, Lincoln, Great Britain. ACI animal behavior automated behaviour identification automated ethogram equine equitation science ethology horse H.5.m. Information interfaces and presentation (e.g. HCI): Miscellaneous H.5.1 Multimedia Information Systems (video) I.2.10 Vision and Scene Understanding (Motion & Video analysis) I.4.8 IMAGE PROCESSING AND COMPUTER VISION: Scene Analysis (Motion & Object recognition) http://doi.org/10.13140/RG.2.1.3395.0881
spellingShingle ACI animal behavior automated behaviour identification automated ethogram equine equitation science ethology horse H.5.m. Information interfaces and presentation (e.g.
HCI): Miscellaneous H.5.1 Multimedia Information Systems (video) I.2.10 Vision and Scene Understanding (Motion & Video analysis) I.4.8 IMAGE PROCESSING AND COMPUTER VISION: Scene Analysis (Motion & Object recognition)
North, Steve
Hall, Carol
Roshier, Amanda L.
Mancini, Clara
HABIT: Horse Automated Behaviour Identification Tool: a position paper
title HABIT: Horse Automated Behaviour Identification Tool: a position paper
title_full HABIT: Horse Automated Behaviour Identification Tool: a position paper
title_fullStr HABIT: Horse Automated Behaviour Identification Tool: a position paper
title_full_unstemmed HABIT: Horse Automated Behaviour Identification Tool: a position paper
title_short HABIT: Horse Automated Behaviour Identification Tool: a position paper
title_sort habit: horse automated behaviour identification tool: a position paper
topic ACI animal behavior automated behaviour identification automated ethogram equine equitation science ethology horse H.5.m. Information interfaces and presentation (e.g.
HCI): Miscellaneous H.5.1 Multimedia Information Systems (video) I.2.10 Vision and Scene Understanding (Motion & Video analysis) I.4.8 IMAGE PROCESSING AND COMPUTER VISION: Scene Analysis (Motion & Object recognition)
url https://eprints.nottingham.ac.uk/29225/
https://eprints.nottingham.ac.uk/29225/