Emotion recognition processing method, device and equipment and storage medium
A technology of emotion recognition and processing method, applied in the computer field, can solve problems such as low recognition rate, achieve the effect of information fusion, improve accuracy and recognition rate
Active Publication Date: 2021-02-26
PEKING UNIV
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Problems solved by technology
[0004]However, the recognition rate of existing emotion recognition methods is low, so how to effectively improve the recognition rate has become a technical problem that needs to be solved urgently
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[0030] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.
[0031] At first the terms involved in the present invention are explained:
[0032] AdaBoost.M1 algorithm: AdaBoost.M1 is commonly referred to as Discrete AdaBoost. AdaBoost is an iterative algorithm. Its core idea is to train different classifiers for the same training set, that is, weak classifiers, and then combine these weak classifiers to co...
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The invention discloses an emotion recognition processing method, device and equipment and a storage medium. The method comprises the steps of: obtaining original emotion data which comprises emotiondata of at least two modes; obtaining emotion characteristics corresponding to the emotion data of each mode according to the original emotion data; determining a first classification confidence coefficient of each mode according to the emotion characteristics corresponding to the emotion data of each mode, the first classification confidence coefficient of each mode comprising a single-mode classification confidence coefficient of the mode on each basic emotion category; performing multi-mode information fusion according to the first classification confidence coefficient of each mode and thepre-obtained multi-mode information fusion weight data to obtain a second classification confidence coefficient, the second classification confidence coefficient comprising a fusion classification confidence coefficient of each mode on each basic emotion category after fusion; and determining a target basic emotion category to which the original emotion data belongs according to the second classification confidence coefficient. According to the invention, the recognition rate and accuracy of emotion recognition can be effectively improved.
Description
technical field [0001] The present invention relates to the field of computer technology, in particular to an emotion recognition processing method, device, equipment and storage medium. Background technique [0002] In daily communication, human beings can capture each other's emotional changes by listening to language, observing facial expressions and gestures, identify emotional state information, and then communicate emotionally. With the rapid development of computer technology, machines are gradually able to simulate human abilities in this area, and realize the automatic recognition of emotional state information. [0003] In the prior art, emotion recognition is usually performed based on physiological signals, and emotion recognition results are obtained by collecting original physiological signals and performing signal preprocessing, feature extraction, and classification on the original physiological signals. Among them, the original physiological signals include...
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Login to View More IPC IPC(8): A61B5/16A61B5/346A61B5/369A61B5/316
CPCA61B5/165A61B5/7264
Inventor 赵宇轩曹昕妍杨晋曹喜信
Owner PEKING UNIV