Action recognition method and device, wearable equipment and computer readable storage medium

A motion recognition and wearable device technology, applied in the field of the Internet of Things, can solve problems such as poor universality, high complexity, and high cost of motion recognition solutions

Active Publication Date: 2019-07-09
CHINA MOBILE COMM LTD RES INST +1
View PDF9 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0010] The purpose of the present invention is to provide an action recognition method, device, wearable device, and computer-readable storage medium to solve the problems of high cost, high complexity, and poor universality of action recognition solutions in the prior art

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 method and device, wearable equipment and computer readable storage medium
  • Action recognition method and device, wearable equipment and computer readable storage medium
  • Action recognition method and device, wearable equipment and computer readable storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0109] In order to make the technical problems, technical solutions and advantages to be solved by the present invention clearer, the following will describe in detail with reference to the drawings and specific embodiments.

[0110] The present invention aims at the problems of high cost, high complexity and poor universality of motion recognition schemes in the existing technology, and provides an motion recognition method, such as figure 1 shown, including:

[0111] Step 11: Obtain the user's body posture data collected by the wearable device at preset intervals;

[0112] Step 12: Extract action features from the human body posture data;

[0113] Step 13: According to the first preset action knowledge, action recognition parameters and the action features, identify the action corresponding to the human body posture data as a static action or a dynamic action;

[0114] Step 14: If the action corresponding to the human body posture data is a static action, then according to...

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 an action recognition method and device, wearable equipment and a computer readable storage medium, and the method comprises the steps: obtaining the human body posture data, collected by the wearable equipment, of a user at preset intervals; extracting action characteristics from the human body posture data; according to the first preset action knowledge, the action recognition parameters and the action characteristics, identifying that an action corresponding to the human body posture data is a static action or a dynamic action; if the action corresponding to the humanbody posture data is a static action, identifying the action corresponding to the human body posture data as static standing or static sitting according to second preset action knowledge and action characteristics; if the action corresponding to the human body posture data is a dynamic action, identifying that the action corresponding to the human body posture data is walking or running accordingto third preset action knowledge and action characteristics; wherein the action recognition parameters are parameters initialized according to static data of static standing of the user. The scheme is low in action recognition cost, low in complexity and high in universality.

Description

technical field [0001] The present invention relates to the technical field of the Internet of Things, in particular to an action recognition method, device, wearable device, and computer-readable storage medium. Background technique [0002] Human body motion recognition is an extremely important part of many human-related intelligent systems. The body posture data is monitored in real time by the posture sensor carried around, the human body posture features are extracted, and the human body motion state is recognized, thereby triggering subsequent control actions in the intelligent control system. Realize more intelligent equipment and environment. [0003] However, the current wearable devices used for motion recognition can only realize the functions of data collection and data transmission on the wearable side. Whether the data is transmitted to the console or the cloud for calculation, there will be higher requirements and restrictions on the usage scenarios. Increas...

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
CPCG06V40/23G06V40/103
Inventor 李杨马丽秋
Owner CHINA MOBILE COMM LTD RES INST
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