Non-contact target emotion recognition method and system

An emotion recognition, non-contact technology, applied in the field of non-contact target emotion recognition, can solve the problems of biased emotion recognition results, unable to provide an effective judgment basis for emotion prediction, etc., achieve continuous detection and tracking, high reliability and effectiveness

Active Publication Date: 2021-06-15
特路(北京)科技有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] In order to solve the above-mentioned problems in the prior art, the present invention provides a method and system for non-contact target emotion recognition, and then at le

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  • Non-contact target emotion recognition method and system
  • Non-contact target emotion recognition method and system
  • Non-contact target emotion recognition method and system

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Embodiment Construction

[0054] In order to better explain the present invention and facilitate understanding, the present invention will be described in detail below through specific embodiments in conjunction with the accompanying drawings.

[0055] All technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the technical field of the invention. The terms used herein in the description of the present invention are for the purpose of describing specific embodiments only, and are not intended to limit the present invention. As used herein, the term "and / or" includes any and all combinations of one or more of the associated listed items.

[0056] There is a direct link between a person's psychophysiological state and physical movement. The vestibular emotional reflex theory shows that when people are tense and anxious, they will be accompanied by uncontrollable self-primary tension, which will cause small movements of the head and neck under ...

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Abstract

The invention relates to a non-contact target emotion recognition method and system. The method comprises the steps: obtaining a video of a tested person in a quasi-static state, and enabling the video to at least comprise a human face, a head, a neck and shoulders; extracting face emotion features in the video to obtain an emotion feature information sequence; analyzing the emotion feature information sequence to obtain an average value and a variation value of each emotion; performing comprehensive calculation according to the average value and the variation value of each emotion to determine the physical and psychological health degree of the tested person; and determining the historical trend of the physical and psychological health degree according to the historical data, and predicting the future emotion by combining the average value and the variation value of the physical and psychological health degree of the tested person. According to the method, high-frequency detection can be performed on the tested person, possible emotion problems of the tested person can be found in time according to a prediction result, long-term and continuous detection and tracking can be performed on fixed crowds, early warning is performed according to the emotion development trend of the tested person, and therefore high credibility and effectiveness are achieved.

Description

technical field [0001] The invention relates to the field of intelligent recognition technology, in particular to a method and system for non-contact target emotion recognition. Background technique [0002] Micro-expression is a person's inner reveal and cover-up, a term in psychology, and a branch of human behavior. People express their inner feelings to each other by making some expressions. Between different expressions or within a certain expression, the face often "leaks" other information. "Micro-expressions" can last as little as 1 / 25 of a second, and while a subconscious expression may last only a split second, it's an annoying quality that can easily reveal emotion. The duration of micro-expression is very short, and it is easier to capture by machine than human eyes. The application of deep learning algorithm makes the recognition of micro-expression very accurate. [0003] The methods for recognizing human emotions in the prior art rely on contact detection to ...

Claims

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Application Information

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IPC IPC(8): A61B5/16A61B5/00G06K9/00
CPCA61B5/165A61B5/0077A61B5/0033G06V40/174
Inventor 王海陆耿志军刘春杰赵铁拓
Owner 特路(北京)科技有限公司
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