Pain Expression Recognition Based on pLSA Model
Author
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-03-27
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
We present a new approach to automatically recognize the pain expression from video sequences, which categorize pain as 4 levels: “no pain,” “slight pain,” “moderate pain,” and “ severe pain.” First of all, facial velocity information, which is used to characterize pain, is determined using optical flow technique.
Then visual words based on facial velocity are used to represent pain expression using bag of words.
Final pLSA model is used for pain expression recognition, in order to improve the recognition accuracy, the class label information was used for the learning of the pLSA model.
Experiments were performed on a pain expression dataset built by ourselves to test and evaluate the proposed method, the experiment results show that the average recognition accuracy is over 92%, which validates its effectiveness.
American Psychological Association (APA)
Zhu, Shaoping. 2014. Pain Expression Recognition Based on pLSA Model. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-1050832
Modern Language Association (MLA)
Zhu, Shaoping. Pain Expression Recognition Based on pLSA Model. The Scientific World Journal No. 2014 (2014), pp.1-8.
https://search.emarefa.net/detail/BIM-1050832
American Medical Association (AMA)
Zhu, Shaoping. Pain Expression Recognition Based on pLSA Model. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-1050832
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1050832