Paper Info
Title
The machine knows what you are hiding: an automatic micro-expression recognition system
Abstract
Micro-expressions are one of the most important behavioral clues for lie and dangerous demeanor detections. However, it is difficult for humans to detect micro-expressions. In this paper, a new approach for automatic microexpression recognition is presented. The system is fully automatic and operates in frame by frame manner. It automatically locates the face and extracts the features by using Gabor filters. GentleSVM is then employed to identify microexpressions. As for spotting, the system obtained 95.83% accuracy. As for recognition, the system showed 85.42% accuracy which was higher than the performance of trained human subjects. To further improve the performance, a more representative training set, a more sophisticated testing bed, and an accurate image alignment method should be focused in future research.
Year
DOI
Venue
2011
10.1007/978-3-642-24571-8_16
ACII (2)
Keywords
Field
DocType
representative training set,gabor filter,automatic micro-expression recognition system,frame manner,dangerous demeanor detection,accurate image alignment method,automatic microexpression recognition,sophisticated testing bed,important behavioral clue,new approach,mutual information,micro expression
Training set,Image alignment,Communication,Facial expression recognition,Pattern recognition,Computer science,Speech recognition,Microexpression,Mutual information,Artificial intelligence,Spotting
Conference
Volume
ISSN
Citations 
6975
0302-9743
27
PageRank 
References 
Authors
1.31
11
3
Name
Order
Citations
PageRank
Qi Wu1271.31
Xunbing Shen2292.39
Xiaolan Fu378660.72