Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

Online adaptation method based on pattern matching and mobile perception scene

A pattern matching and scene technology, applied in the field of mobile perception, can solve the problems of reduced system recognition accuracy, difficulty, neglect of condition changes, etc., to achieve the effect of ensuring computing and storage efficiency

Pending Publication Date: 2022-06-07
SHENZHEN UNIV
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, most of the current recognition systems still have great difficulties when deployed to real scenes
Affected by changes in various unknown conditions in the real scene, the recognition accuracy of the system is significantly reduced
Especially for user-centric scenarios, individual user differences and dynamic uncertainties including usage habits and interest drift will bring huge challenges to the actual performance of the recognition system.
[0003] The existing recognition technology mainly starts with the training of the perception model, and minimizes the impact on the user experience by reducing the training overhead, but ignores the condition changes in the actual use process, resulting in poor recognition effect

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
  • Online adaptation method based on pattern matching and mobile perception scene
  • Online adaptation method based on pattern matching and mobile perception scene
  • Online adaptation method based on pattern matching and mobile perception scene

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0017] Various exemplary embodiments of the present invention will now be described in detail with reference to the accompanying drawings. It should be noted that the relative arrangement of components and steps, the numerical expressions and numerical values ​​set forth in these embodiments do not limit the scope of the invention unless specifically stated otherwise.

[0018] The following description of at least one exemplary embodiment is merely illustrative in nature and is in no way intended to limit the invention, its application, or uses.

[0019] Techniques, methods, and apparatus known to those of ordinary skill in the relevant art may not be discussed in detail, but where appropriate, such techniques, methods, and apparatus should be considered part of the specification.

[0020] In all examples shown and discussed herein, any specific values ​​should be construed as illustrative only and not limiting. Accordingly, other instances of the exemplary embodiment may hav...

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 online adaptation method based on pattern matching and a mobile perception scene. The method comprises the following steps: carrying out classification identification by comparing the similarity between a target sample and a template in a template library to obtain a classification result; according to the obtained classification result, feedback from the application or the user is monitored in real time; in combination with a feedback result, the representativeness of the current target sample is judged according to an active learning theory, and the representativeness reflects the importance degree of the target sample for classification and recognition; and on the basis of the corresponding representativeness, updating the template library by a set strategy to realize online adaptation. By utilizing the method and the device, a developer can realize an application system supporting online continuous adaptation on the mobile equipment under the condition of ensuring the storage and calculation efficiency.

Description

technical field [0001] The present invention relates to the technical field of mobile perception, and more particularly, to an online adaptation method based on pattern matching and mobile perception scenarios. Background technique [0002] With the rapid development of micro-motor systems, smart devices such as mobile terminals have become part of people's daily life. As technology advances, more and more sensors can be integrated into a mobile device. Perceiving and providing services to users through mobile devices has also become a popular research direction. Human behavior recognition is one of the most important branches of human-centered mobile perception, and its common applications cover gesture recognition, daily behavior inference and other scenarios. However, most of the current recognition systems still have great difficulties when deploying to real scenes. Affected by various unknown condition changes in real scenes, the system recognition accuracy is signif...

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): G06V10/74G06V10/764G06V40/20G06V20/52G06K9/62
CPCG06F18/22G06F18/24
Inventor 伍楷舜邱铭辉
Owner SHENZHEN UNIV
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
Eureka Blog
Learn More
PatSnap group products