A method and system for facial expression recognition based on file transfer

A technology of facial expression recognition and file transfer, which is applied in the field of facial expression recognition method and system based on file transfer, can solve uncommon problems and achieve high accuracy, strong robustness, and convenient and quick call effect

Inactive Publication Date: 2020-05-22
SOUTH CHINA UNIV OF TECH
View PDF8 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] Although there are not many researches in the field of facial expression recognition, the research and practice of using deep convolutional neural networks and combining file transfer methods as the application layer is not common, and needs to be improved urgently.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A method and system for facial expression recognition based on file transfer
  • A method and system for facial expression recognition based on file transfer
  • A method and system for facial expression recognition based on file transfer

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 2

[0091] A facial expression recognition system based on file transfer, including a client and a server;

[0092] The client includes a main loop program module and an instruction processing module; the function of the main loop module is to wait for the client to input an instruction and send it to the instruction processing module for processing, and to display it to the client after the server sends back a relevant response; the function of the instruction processing module is to analyze the instruction and Processing instructions. like image 3 As shown, when the client is working, it keeps detecting blockages in a loop, waiting for user commands. Once a user command is detected, it immediately reads the command from stdin, and interacts with the server side according to the command in stdin.

[0093] The common module between the client and the server is the file transfer module, which is a module for sending and receiving files between the client and the server, and reali...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a method and system for recognizing facial expressions based on file transmission, including acquiring facial expression images uploaded by users; system preprocessing the facial expression images; The network and the trained model perform facial expression recognition and feature matching on the preprocessed facial expression image; the recognition result is output in the form of a text file, and fed back to the user through file transmission. The invention applies a file transmission module, which is convenient for users to use; it adopts a deep convolutional neural network to extract and classify facial expression image features, can quickly and accurately recognize facial expressions, and is easy to operate, stable and reliable.

Description

technical field [0001] The invention relates to the technical fields of image processing and machine learning, in particular to a method and system for recognizing facial expressions based on file transmission. Background technique [0002] Facial expression recognition technology refers to extracting facial expression features from a given facial expression image and assigning them to a specific type of facial expression. Common facial expression categories include happy, neutral, angry, disgusted, sad, and disgusted. The research on facial expression recognition has a wide range of application values. Fast facial expression recognition helps to analyze the emotions of the recognized objects, and can realize emotional communication between machines and humans in the field of intelligent machines. Facial expression recognition can also be applied to the field of Internet interest capture. Facial expression recognition is a prerequisite for computers to understand human emot...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/62G06N3/04
CPCG06V40/175G06N3/045G06F18/214
Inventor 邓诗雨刘龙至张伟彬李嘉恒林泽宏肖玉可刘梓熙
Owner SOUTH CHINA UNIV OF TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap