Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Multi-modal emotion recognition system and method based on video images

A technology of emotion recognition and video image, applied in the field of emotion computing, can solve the problem of low accuracy and achieve accurate and reliable recognition results

Pending Publication Date: 2020-08-14
NANJING FORESTRY UNIV
View PDF1 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this system extracts single-modal emotion features, and the accuracy of the results is low

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
  • Multi-modal emotion recognition system and method based on video images

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0023] The technical solution of the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0024] refer to figure 1 , a multi-modal emotion recognition system based on video images, including a face extraction module, a physiological signal sensing module, a posture signal acquisition module, a clothing signal scanning module, a scene analysis module, an emotion time sequence coding module, and an emotion information modeling module, Emotional space mapping module;

[0025] The physiological signal sensing module is used for sensing human physiological signals;

[0026] The posture signal acquisition module is used to collect human body movement signals;

[0027] The clothing signal scanning module is used to scan clothing and accessories signals on people;

[0028] The scene analysis module is used for analyzing the environmental signals of people.

[0029] The physiological signals of a perso...

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 multi-modal emotion recognition system and method based on video images. The system comprises a face extraction module, a physiological signal induction module, an attitude signal acquisition module, a dressing signal scanning module, a scene analysis module, an emotion time sequence coding module, an emotion information modeling module and an emotion space mapping module. The invention further provides the multi-modal emotion recognition method based on the video image. According to the multi-modal emotion recognition system based on the video images, through the design of a functional module and the adoption of multi-modal emotion feature extraction, the multi-modal emotion recognition system has the advantages of being more accurate and reliable in recognitionstructure and suitable for application and popularization.

Description

technical field [0001] The invention belongs to the technical field of emotion computing, and relates to a multi-modal emotion recognition system and method based on video images. Background technique [0002] Emotion has been off the radar of cognitive science researchers for a long time. It was not until the end of the 20th century that the identity of emotion as an important part of the cognitive process was generally recognized by the academic community. Contemporary cognitive scientists compare emotion with classic cognitive processes such as perception, learning, memory, and speech. Research on emotion itself and the interaction between emotion and other cognitive processes has become a research hotspot in contemporary cognitive science. Affective computing ( affectivecomputing) has also become an emerging research field. [0003] As we all know, people will have emotional ups and downs such as joy, anger, sorrow and joy anytime and anywhere. Then, in the process of...

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 Applications(China)
IPC IPC(8): G06K9/00G16H50/30G06K9/62
CPCG16H50/30G06V40/174G06F18/253
Inventor 范习健杨绪兵张严蒋安纳张礼
Owner NANJING FORESTRY UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products