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

Emotion analysis method and system

A sentiment analysis and micro-expression technology, applied in the field of sentiment analysis methods and systems, can solve the problems of high labor cost and low accuracy, and achieve the effect of improving technical effect, accuracy and convenience

Pending Publication Date: 2020-06-02
INST OF BIOMEDICAL ENG CHINESE ACAD OF MEDICAL SCI
View PDF9 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

When using this method to determine the current state of the user, since human observation is required, the results obtained and the actual state often vary from person to person, and there may be certain differences, and there are technical problems of high labor costs and low accuracy

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
  • Emotion analysis method and system
  • Emotion analysis method and system
  • Emotion analysis method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0057] figure 1 It is a schematic flow chart of an emotion analysis method provided by Embodiment 1 of the present invention. This embodiment is applicable to the situation where the target user's current emotion analysis result is determined by processing facial image information and physiological parameter information of the target user. The method can be composed of Sentiment analysis system to perform, the system can be implemented in the form of software and / or hardware.

[0058] Before introducing the technical solution of the present invention, the technical background is briefly introduced. At present, emotion recognition research is mainly used for the detection and identification of macro-emotional changes, and to identify the real subtle emotional changes that the human body tries to suppress or hide. Therefore, the collected facial image information and physiological signals can be processed to determine the target user Corresponding sentiment analysis results. T...

Embodiment 2

[0084] On the basis of the above technical solution, in order to improve the determination of the emotion analysis result corresponding to the target user, on the basis of Embodiment 1, the emotion corresponding to the target user can be further determined according to the epidermis information and hair information detected by the skin surface sensor Analyze the results. figure 2 It is another schematic flowchart of a sentiment analysis method provided in Embodiment 2 of the present invention. Such as figure 2 As shown, the methods include:

[0085] S210. Acquire physiological signals corresponding to the target user.

[0086] As an example, this solution is introduced by taking the test of whether the user is lying as an example. In the process of the target user answering the question, there are certain differences in the eye closing frequency, swallowing frequency and the collected electromyographic signals, so the current state of the target user can be determined by ...

Embodiment 3

[0107] As a preferred embodiment of the above embodiment, image 3 It is a schematic diagram of a micro-expression-based information processing method provided by Embodiment 3 of the present invention. Such as image 3 As shown, the method includes:

[0108] During the testing process of the target user, the facial image information of the target user is collected based on the camera, that is, the facial video sequence. electric signal. FlowNet will be used to extract the optical flow features in the facial video sequence, and after the face is divided into blocks and the AU motion unit is marked, it will be input into the pre-trained multi-scale feature weighting network to extract the weighted spatial features of each frame, and then the The spatial features of the video sequence are input into the convolutional long-short-term memory network to complete the classification and recognition of micro-expressions. While processing micro-expressions, the collected physiologic...

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 an emotion analysis method and system. The method comprises the steps of obtaining a physiological signal corresponding to a target user; wherein the physiological signals comprise electroencephalogram signals and electromyogram signals; acquiring facial image information corresponding to the target user; respectively inputting the physiological signal and the facial imageinformation into at least one pre-trained target classification model to obtain a physiological signal recognition result and a micro-expression recognition result corresponding to the target user, and determining an emotion analysis result corresponding to the target user based on the physiological signal recognition result and the micro-expression recognition result. According to the technical scheme provided by the embodiment of the invention, the technical problems of certain errors and relatively high labor cost caused by manually determining the current state information of the target user in the prior art are solved, and the technical effects of quickly and accurately determining the current state of the user and reducing the labor cost are achieved.

Description

technical field [0001] The embodiments of the present invention relate to the technical field of intelligent recognition, and in particular to an emotion analysis method and system. Background technique [0002] Micro-expressions are short-duration expressions that express real emotions that users try to suppress and hide. Since micro-expression is the user's attempt to suppress or hide the real emotion, the leakage time is very short and cannot be controlled independently, so it can be used as an effective clue to identify lies or judge the user's current state. [0003] The prior art determines the user's current state based on the user's micro-expressions, mainly in the process of the tested user answering questions, and the tester determines the current state information of the tested user by observing the tested user's expression information. When using this method to determine the current state of the user, since human observation is required, the result obtained and ...

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
IPC IPC(8): G06K9/00G06N3/04G06N3/08
CPCG06N3/08G06V40/166G06V40/172G06V40/168G06V40/174G06N3/044G06N3/045G06F2218/08G06F2218/12Y02D10/00
Inventor 王磊李扬张晓阳王琳琳
Owner INST OF BIOMEDICAL ENG CHINESE ACAD OF MEDICAL SCI
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

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com