Automated Detection of Pain in Horses through Facial Expression Analysis

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dc.contributor.authorBhatti, Kashif
dc.contributor.departmentChalmers tekniska högskola / Institutionen för tillämpad mekaniksv
dc.contributor.departmentChalmers University of Technology / Department of Applied Mechanicsen
dc.date.accessioned2019-07-03T14:24:34Z
dc.date.available2019-07-03T14:24:34Z
dc.date.issued2016
dc.description.abstractA method for automated pain-assessment in horses through facial-expression analysis is proposed. The method is based on supervised linear classification of a feature stack of Gabor filters and has the desirable quality of not requiring expert knowledge or specialized equipment to make an assessment. The method is evaluated by applying it to images of horses from two clinical trials where the horses were (ethically) subjected to pain. The resulting accuracy of 78% compares favorably to an alternate method of pain assessment based on facial expression cues that requires expertise to administer.
dc.identifier.urihttps://hdl.handle.net/20.500.12380/246636
dc.language.isoeng
dc.relation.ispartofseriesDiploma work - Department of Applied Mechanics, Chalmers University of Technology, Göteborg, Sweden : 2016:86
dc.setspec.uppsokTechnology
dc.subjectInformations- och kommunikationsteknik
dc.subjectLivsvetenskaper
dc.subjectGrundläggande vetenskaper
dc.subjectHållbar utveckling
dc.subjectInnovation och entreprenörskap (nyttiggörande)
dc.subjectAnnan teknik
dc.subjectInformation & Communication Technology
dc.subjectLife Science
dc.subjectBasic Sciences
dc.subjectSustainable Development
dc.subjectInnovation & Entrepreneurship
dc.subjectOther Engineering and Technologies
dc.titleAutomated Detection of Pain in Horses through Facial Expression Analysis
dc.type.degreeExamensarbete för masterexamensv
dc.type.degreeMaster Thesisen
dc.type.uppsokH
local.programmeComplex adaptive systems (MPCAS), MSc
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