Reinforcement patch and multi-tag learning combination-based expression lie test method

Abstract

The invention provides a reinforcement patch and multi-tag learning combination-based expression lie test method. The main contents of the method comprise training of a lie test system and a lie test process of an expression. The process of the method comprises the steps of firstly importing a video to a database, and performing analysis and lie test on the expression so as to obtain a micro-expression lie test system; and when the lie test of the expression is started, inputting video data firstly, then performing expression identification, performing a query in the micro-expression lie test system, and finally returning a lie test result. According to the method, a lie test process video is shot by adopting a hidden camera, so that the psychology of subjects is not influenced and the authenticity of a test result is high; meanwhile, additional equipment attached to subject bodies is not required, and few manual operations are carried out in the whole lie test process, so that the loss of manpower and material resources is reduced; and the human face expression is intelligently analyzed without artificial participation, so that the result is more objective.

Description

technical field [0001] The invention relates to the field of expression lie detection, in particular to an expression lie detection method based on the combination of enhanced patches and multi-label learning. Background technique [0002] For facial expression lie detection technology, the method of instrumental analysis is less subjective and more objective than artificial expression analysis lie detection, and saves related manpower and material resources. This will be the future development of lie detection. big trend. The commonly used methods of polygraph detection are methods such as the use of electrical signal collection and analysis or pupil polygraph detection. The equipment is complex and requires manual analysis, and the overall equipment will cause certain psychological pressure on the polygraph subjects, thereby affecting the polygraph results. [0003] The present invention proposes an expression polygraph method based on the combination of enhanced patches ...

AI Technical Summary

Problems solved by technology

[0004] Aiming at problems such as complex equipment and unobjective results, the purpose of the present invention is to provide a facial expression polygraph method based on the combination of enhanced patches and multi-label learning. Lie system; when starting the expression polygraph detection, first input the video data, then carry out facial expression recognition, then query in the micro-expression polygraph system, and finally return the polygraph result

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