Pain Recognition using Spatiotemporal Oriented Energy of Facial Muscles

Research output: Research - peer-reviewArticle in proceeding

Abstract

Pain is a critical sign in many medical situations and
its automatic detection and recognition using computer vision
techniques is of great importance. Utilizes this fact
that pain is a spatiotemporal process, the proposed system
in this paper employs steerable and separable filters
to measures energies released by the facial muscles during
the pain process. The proposed system not only detects the
pain but recognizes its level. Experimental results on the
publicly available pain database of UNBC show promising
outcome for automatic pain detection and recognition.
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Details

Pain is a critical sign in many medical situations and
its automatic detection and recognition using computer vision
techniques is of great importance. Utilizes this fact
that pain is a spatiotemporal process, the proposed system
in this paper employs steerable and separable filters
to measures energies released by the facial muscles during
the pain process. The proposed system not only detects the
pain but recognizes its level. Experimental results on the
publicly available pain database of UNBC show promising
outcome for automatic pain detection and recognition.
Original languageEnglish
Title of host publicationIEEE Conference on Computer Vision and Pattern Recognition Workshop (CVPRW), 2015
PublisherIEEE Computer Society Press
Publication date7 Jun 2015
Pages80-87
ISBN (Print)978-1-4673-6759-2
DOI
StatePublished - 7 Jun 2015
Publication categoryResearch
Peer-reviewedYes
Event2015 IEEE Conference on Computer Vision and Pattern Recognition Workshop - Boston, United States
Duration: 6 Jun 201512 Jun 2015

Conference

Conference2015 IEEE Conference on Computer Vision and Pattern Recognition Workshop
LandUnited States
ByBoston
Periode06/06/201512/06/2015

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