User experience evaluation method and system based on expression recognition

An evaluation method and expression recognition technology, applied in the field of big data, can solve the problem that developers cannot quickly obtain user experience data of newly developed APPs

Pending Publication Date: 2019-06-21
CHONGQING UNIVERSITY OF SCIENCE AND TECHNOLOGY
View PDF3 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In order to solve the problem that the R&D personnel cannot quickly obtain the user experience data of the newly developed APP in the current pr...

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
  • User experience evaluation method and system based on expression recognition
  • User experience evaluation method and system based on expression recognition
  • User experience evaluation method and system based on expression recognition

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0089] In the following description, for purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of one or more embodiments. It may be evident, however, that these embodiments may be practiced without these specific details.

[0090] Aiming at the problem that the research and development personnel cannot quickly obtain the user experience data of the newly developed APP during the product development process, the present invention provides a user experience evaluation method and system based on facial expression recognition

[0091] The present invention trains the BP neural network by collecting user videos and user survey data, recognizes the video of the user using the newly developed APP through the trained BP neural network, and quickly obtains user experience data to evaluate the newly developed APP. The BP neural network has high modeling accuracy for nonlinear systems, and is very suitable for the establishment of ...

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 user experience evaluation method and system based on expression recognition, and the method comprises the steps: obtaining a process video of a user using a new research anddevelopment APP through development of a mobile phone App, and transmitting the process video to a cloud end (the video file can be shot or read through the mobile phone App on site); decomposing thevideo into a series of continuous photos at a cloud end; applying face recognition technology to recognize the face expression types corresponding to the series of photos, acquiring code vectors withexpressions changing along with time and establishing a complex nonlinear relation model of user experience data and corresponding user experience process scores through a BP neural network on a cloud platform; automatically acquiring a user experience evaluation result of the user experience process by inputting a video to serve as a basis for upgrading and optimizing an APP product by an enterprise.

Description

technical field [0001] The invention relates to the field of big data, in particular to a user experience evaluation method and system based on facial expression recognition. Background technique [0002] Nowadays, the development of various APP software products emerges in an endless stream. Whether an APP software product can be successful or not, user experience has gradually become a key factor. Big data has become an important reference tool for improving user experience. Effective data mining and analysis can be used by enterprises to improve the user experience of existing products, and develop new products and services through the above results. Targeted user experience measures are taken so that users have a good user experience psychologically, but it is difficult to express the user experience results in an intuitive and real way. However, expressions are used by humans to express various emotional states The most intuitive and authentic way is a very important m...

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): G06K9/00G06K9/62G06N3/08
Inventor 尹蝶李太福黄星耀张志亮刘雪
Owner CHONGQING UNIVERSITY OF SCIENCE AND TECHNOLOGY
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