Emotion analysis method for video communication

Abstract

The invention relates to the technical field of video communication and discloses an emotion analysis method for video communication. The method comprises a face detection module, a facial expressionrecognition module, a voice recognition module, a keyword extraction module, an ID-keyword-emotion database and a synchronous analysis module. The audio and image synchronization in video communication is analyzed and processed. On one hand, the facial expressions of the two communication parties can be accurately analyzed. Meanwhile, interest points and anti-inductance points of two communicationparties can be accurately positioned in combination with voice recognition. One or two communication parties are assisted in controlling, analyzing and summarizing communication content. The practical significance is obvious. Meanwhile, all processes of the technical scheme are processed on the end, and the absolute protection effect on privacy of users is achieved.

Description

Technical field [0001] The invention relates to the technical field of video communication, in particular to an emotion analysis method for video communication. Background technique [0002] The education of left-behind children is a major pain point in the current society. On the one hand, parents of migrant workers cannot go home frequently to communicate with their children due to their own reality. On the other hand, most of these parents do not have sufficient emotional analysis and orientation ability, so The ability to control the communication with their children is insufficient. Because of the great requirements for communication efficiency, both parties will use video communication methods in most situations where they have urgent emotional analysis needs and are difficult to be present, such as business meetings, online education, Family communication, etc. [0003] Video communication is one of the current mainstream communication methods. It has the ability to transmi...

AI Technical Summary

Problems solved by technology

[0005] 1. The existing video chat technical solutions based on image color and traditional feature points have low recognition accuracy, and it is difficult to provide practical guidance for both parties;

[0006] 2. Existing video chats only analyze image data, and cannot combine audio content to analyze the actual concerns of both parties;

[0007] 3. The existing video chat needs to upload the communication video itself to the cloud server for analysis and return the results, which cannot guarantee the protection of user privacy

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