Customer satisfaction analysis method based on video face expressions

A technology for customer satisfaction and facial expressions, applied in the acquisition/recognition of facial features, computer components, instruments, etc., can solve the problems of low efficiency and accuracy

Inactive Publication Date: 2017-03-08
SHENZHEN WEITESHI TECH
View PDF3 Cites 17 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Aiming at the problems of large amount of data and low efficiency and accuracy, the purpose of the present invention is to provide a method for analyzing customer satisfaction based on video facial expressions. Firstly, the customer video data is obtained, and then according to the facial expression changes in the video, a part is used. The basic representation method is modeling of facial shape and appearance, discriminative fitting, updating incremental representation, parallel fitting, then fitting evaluation, and finally analyzing customer satisfaction according to the fitting evaluation results

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
  • Customer satisfaction analysis method based on video face expressions
  • Customer satisfaction analysis method based on video face expressions
  • Customer satisfaction analysis method based on video face expressions

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0048]It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other. The present invention will be further described in detail below in conjunction with the drawings and specific embodiments.

[0049] figure 1 It is a system flowchart of a method for analyzing customer satisfaction based on video facial expressions in the present invention. It mainly includes obtaining customer video data, modeling facial shape and appearance using part-based representation, discriminant fitting, updating incremental representation, parallel fitting, fitting evaluation, and analyzing customer satisfaction based on fitting evaluation results.

[0050] Among them, the acquisition of customer video data is to obtain video data of customer facial expressions by calling video information from cameras in places such as banks and toll stations, and use facial expression image data sets for training, ...

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 provides a customer satisfaction analysis method based on video face expressions. The method comprises the following steps of acquiring customer video data; using an expression method with a base portion to modeling a face shape and an appearance; distinguishing fitting, updating incremental expressions, and carrying out parallel fitting and fitting evaluation; and according to a fitting evaluation result, analyzing customer satisfaction. In the invention, a sample scope is wide, a customer does not need to subjectively evaluate and grade so that man-made subjective factors are eliminated and the data is objective; and simultaneously, a lot of questionnaire data is avoided and manual labor is reduced, and efficiency and accuracy are increased.

Description

technical field [0001] The invention relates to the field of video facial expression analysis, in particular to a method for analyzing customer satisfaction based on video facial expression. Background technique [0002] Traditional customer satisfaction surveys are carried out in the form of customer oral feedback and questionnaires. This kind of investigation consumes a lot of manpower, material and financial resources, the efficiency and accuracy are not high, and the data also contains human subjective factors. [0003] The present invention proposes a method for analyzing customer satisfaction based on video facial expressions. First, the video data of the customer's facial expressions is obtained by calling the video information in the camera of the service site such as a bank, a toll station, etc., and the facial expression image is used to The data set is trained; according to the facial expression changes in the video, the part-based representation method is used t...

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): G06K9/00
CPCG06V40/175G06V20/41
Inventor 夏春秋
Owner SHENZHEN WEITESHI 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