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.
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 language | English |
|---|---|
| Title of host publication | IEEE Conference on Computer Vision and Pattern Recognition Workshop (CVPRW), 2015 |
| Publisher | IEEE Computer Society Press |
| Publication date | 7 Jun 2015 |
| Pages | 80-87 |
| ISBN (Print) | 978-1-4673-6759-2 |
| DOIs | |
| Publication status | Published - 7 Jun 2015 |
| Event | 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshop: Looking at People - Boston, United States Duration: 6 Jun 2015 → 12 Jun 2015 |
Conference
| Conference | 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshop |
|---|---|
| Country/Territory | United States |
| City | Boston |
| Period | 06/06/2015 → 12/06/2015 |