Title
Spontaneous pain expression recognition in video sequences
Abstract
Automatic recognition of Pain expression has potential medical significance. In this paper we present results of the application of an automatic facial expression recognition system on sequences of spontaneous Pain expression. Twenty participants were videotaped while undergoing thermal heat stimulation at nonpainful and painful intensities. Pain was induced experimentally by use of a Peltierbased, computerized thermal stimulator with a 3 × 3 cm2 contact probe. Our aim is to automatically recognize the videos where Pain was induced. We chose a machine learning approach, previously used successfully to categorize the six basic facial expressions in posed datasets [1, 2] based on the Transferable Belief Model. For this paper, we extended this model to the recognition of sequences of spontaneous Pain expression. The originality of the proposed method is the use of the dynamic information for the recognition of spontaneous Pain expression and the combination of different sensors: facial features behavior, transient features and the context of the expression study. Experimental results show good classification rates for spontaneous Pain sequences especially when we use the contextual information. Moreover the system behaviour compares favourably to the human observer in the other case, which opens promising perspectives for the future development of the proposed system.
Year
DOI
Venue
2008
10.14236/ewic/vocs2008.17
BCS Int. Acad. Conf.
Keywords
Field
DocType
spontaneous pain expression,spontaneous pain,expression study,system behaviour,facial features behavior,pain expression,automatic facial expression recognition,automatic recognition,basic facial expression,proposed system,video sequence,spontaneous pain expression recognition,classification
Categorization,Contextual information,Facial expression recognition,Spontaneous pain,Psychology,Speech recognition,Facial expression,Transferable belief model,Artificial intelligence,Observer (quantum physics)
Conference
Citations 
PageRank 
References 
2
0.35
23
Authors
4
Name
Order
Citations
PageRank
Zakia Hammal115613.67
Miriam Kunz2352.89
Martin Arguin341.07
Frédéric Gosselin4227.58