Proceedings of the 2nd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2017)

Automatic Recognition of the Micro-Expressions of Human Torso Posture in the Environment of Interrogation

Authors
Haopeng Wang, Xianying Feng
Corresponding Author
Haopeng Wang
Available Online May 2017.
DOI
https://doi.org/10.2991/icmeit-17.2017.4How to use a DOI?
Keywords
Human torso; Micro-expressions; Posture recognition; 6 points human skeleton model; Local binary pattern.
Abstract
In order to improve trial efficiency and realize the automatic recognition of the micro-expressions of criminal suspects in the interrogation process, according to the characteristics of the human torso micro-expressions posture, A 6 points human torso model which is used to describe the human torso micro-expressions posture is proposed. An automatic recognition algorithm of the micro-expressions of human torso posture is designed. First, the original image of the human torso posture is converted to a local binary pattern image. The edge of the human torso is detected on the local binary pattern image by the canny operator. Then, the human torso posture characteristics are described and calculated by 6 points human skeleton model. Compared with the traditional 20 points human skeleton model, the key points of the left and right chest are added to the skele-ton model, and the key point of waist is expanded to about two points. The 6 points model is more suitable for describing the micro-expressions characteristics of human torso posture. Finally, the different postures are classified and recognized by support vector machine. Experimental results indicate that the recognition results of the 8 different human torso pose are uniform, and are all in the 83.1~92.5%. The average correct recognition rate of 8 different human torso posture is 87.9%. The average correct recognition rate of the recognition algorithm using the traditional 20 points human skeleton model is only 67.3%. Compared with the traditional 20 points human skeleton model, the 6 points human torso model can be more accurate and reasonable description of the characteristics of the human torso micro- expressions posture. The algorithm can satisfy the requirements of human torso micro- expressions posture automatic recognition, and effectively judge the different postures.
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Proceedings
2nd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2017)
Part of series
Advances in Computer Science Research
Publication Date
May 2017
ISBN
978-94-6252-338-8
ISSN
2352-538X
DOI
https://doi.org/10.2991/icmeit-17.2017.4How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Haopeng Wang
AU  - Xianying Feng
PY  - 2017/05
DA  - 2017/05
TI  - Automatic Recognition of the Micro-Expressions of Human Torso Posture in the Environment of Interrogation
BT  - 2nd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2017)
PB  - Atlantis Press
SP  - 19
EP  - 25
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmeit-17.2017.4
DO  - https://doi.org/10.2991/icmeit-17.2017.4
ID  - Wang2017/05
ER  -