Pain Recognition using Spatiotemporal Oriented Energy of Facial Muscles

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Resumé

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.
OriginalsprogEngelsk
TitelIEEE Conference on Computer Vision and Pattern Recognition Workshop (CVPRW), 2015
ForlagIEEE Computer Society Press
Publikationsdato7 jun. 2015
Sider80-87
ISBN (Trykt)978-1-4673-6759-2
DOI
StatusUdgivet - 7 jun. 2015
Begivenhed2015 IEEE Conference on Computer Vision and Pattern Recognition Workshop: Looking at People - Boston, USA
Varighed: 6 jun. 201512 jun. 2015

Konference

Konference2015 IEEE Conference on Computer Vision and Pattern Recognition Workshop
LandUSA
ByBoston
Periode06/06/201512/06/2015

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Irani, R., Nasrollahi, K., & Moeslund, T. B. (2015). Pain Recognition using Spatiotemporal Oriented Energy of Facial Muscles. I IEEE Conference on Computer Vision and Pattern Recognition Workshop (CVPRW), 2015 (s. 80-87). IEEE Computer Society Press. https://doi.org/10.1109/CVPRW.2015.7301340
Irani, Ramin ; Nasrollahi, Kamal ; Moeslund, Thomas B. / Pain Recognition using Spatiotemporal Oriented Energy of Facial Muscles. IEEE Conference on Computer Vision and Pattern Recognition Workshop (CVPRW), 2015. IEEE Computer Society Press, 2015. s. 80-87
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Irani, R, Nasrollahi, K & Moeslund, TB 2015, Pain Recognition using Spatiotemporal Oriented Energy of Facial Muscles. i IEEE Conference on Computer Vision and Pattern Recognition Workshop (CVPRW), 2015. IEEE Computer Society Press, s. 80-87, 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshop, Boston, USA, 06/06/2015. https://doi.org/10.1109/CVPRW.2015.7301340

Pain Recognition using Spatiotemporal Oriented Energy of Facial Muscles. / Irani, Ramin; Nasrollahi, Kamal; Moeslund, Thomas B.

IEEE Conference on Computer Vision and Pattern Recognition Workshop (CVPRW), 2015. IEEE Computer Society Press, 2015. s. 80-87.

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

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N2 - Pain is a critical sign in many medical situations andits automatic detection and recognition using computer visiontechniques is of great importance. Utilizes this factthat pain is a spatiotemporal process, the proposed systemin this paper employs steerable and separable filtersto measures energies released by the facial muscles duringthe pain process. The proposed system not only detects thepain but recognizes its level. Experimental results on thepublicly available pain database of UNBC show promisingoutcome for automatic pain detection and recognition.

AB - Pain is a critical sign in many medical situations andits automatic detection and recognition using computer visiontechniques is of great importance. Utilizes this factthat pain is a spatiotemporal process, the proposed systemin this paper employs steerable and separable filtersto measures energies released by the facial muscles duringthe pain process. The proposed system not only detects thepain but recognizes its level. Experimental results on thepublicly available pain database of UNBC show promisingoutcome for automatic pain detection and recognition.

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Irani R, Nasrollahi K, Moeslund TB. Pain Recognition using Spatiotemporal Oriented Energy of Facial Muscles. I IEEE Conference on Computer Vision and Pattern Recognition Workshop (CVPRW), 2015. IEEE Computer Society Press. 2015. s. 80-87 https://doi.org/10.1109/CVPRW.2015.7301340