Supercharge Your Innovation With Domain-Expert AI Agents!

Action recognition processing method, device and equipment

A technology of action recognition and processing methods, applied in the computer field, can solve the problem of low accuracy of the recognition model, achieve the effect of improving accuracy and efficiency, increasing the distance between classes, and reducing the distance within classes

Pending Publication Date: 2022-02-18
BEIJING UNIV OF POSTS & TELECOMM
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Both schemes generally use intelligent learning models, but the recognition models of general human actions may not be very accurate

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
  • Action recognition processing method, device and equipment
  • Action recognition processing method, device and equipment
  • Action recognition processing method, device and equipment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0047] The following will clearly and completely describe the technical solutions in the embodiments herein in conjunction with the accompanying drawings in the embodiments herein. Obviously, the described embodiments are only some of the embodiments herein, not all of them. Based on the embodiments herein, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts fall within the scope of protection herein.

[0048]It should be noted that the terms "first" and "second" in the description and claims herein and the above drawings are used to distinguish similar objects, but not necessarily used to describe a specific order or sequence. It is to be understood that the data so used are interchangeable under appropriate circumstances such that the embodiments herein described herein can be practiced in sequences other than those illustrated or described herein. Furthermore, the terms "comprising" and "having", as well as any variations t...

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 embodiment of the invention particularly relates to an action recognition processing method, device and equipment, self-adaptive anchor points are added in an action recognition model, action recognition is carried out on actions to be recognized by calculating the distance between action data to be recognized and each self-adaptive anchor point in the model, and the self-adaptive anchor points realize more accurate and more efficient spatial clustering on each human body action, the intra-class distance of the embedded layer is reduced, the inter-class distance is increased, the recognition ability of the model to human body actions is enhanced, and the accuracy and efficiency of action recognition are improved.

Description

technical field [0001] The present invention relates to the field of computer technology, in particular to an action recognition processing method, device and electronic equipment. Background technique [0002] With the development of computer and Internet technology, there are more and more products that use scientific and technological means to assist people to exercise. Using scientific and technological means can help people to correct their movements, so as to help people to perform scientific sports or exercise. [0003] Generally, to assist people's movements, it is first necessary to recognize the user's movements. One can use image sensors or depth cameras to visually capture human activities. The image data contains enough information, but it also contains a lot of noise. However, the scope of application of the image data is also limited because the shooting angle of the camera is fixed or limited. Another method is to use a wearable acceleration sensor, which ha...

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): G06V40/20G06V10/74G06V10/764G06V10/774G06V10/82G06K9/62G06N3/04G06N3/08
CPCG06N3/084G06N3/044G06N3/045G06F18/22G06F18/24G06F18/214
Inventor 王小娟金磊何明枢初佳明阳柳
Owner BEIJING UNIV OF POSTS & TELECOMM
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More