Automated Detection of Pain in Horses through Facial Expression Analysis

Examensarbete för masterexamen

Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.12380/246636
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Type: Examensarbete för masterexamen
Master Thesis
Title: Automated Detection of Pain in Horses through Facial Expression Analysis
Authors: Bhatti, Kashif
Abstract: A 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.
Keywords: Informations- och kommunikationsteknik;Livsvetenskaper;Grundläggande vetenskaper;Hållbar utveckling;Innovation och entreprenörskap (nyttiggörande);Annan teknik;Information & Communication Technology;Life Science;Basic Sciences;Sustainable Development;Innovation & Entrepreneurship;Other Engineering and Technologies
Issue Date: 2016
Publisher: Chalmers tekniska högskola / Institutionen för tillämpad mekanik
Chalmers University of Technology / Department of Applied Mechanics
Series/Report no.: Diploma work - Department of Applied Mechanics, Chalmers University of Technology, Göteborg, Sweden : 2016:86
URI: https://hdl.handle.net/20.500.12380/246636
Collection:Examensarbeten för masterexamen // Master Theses



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