Training action identification method

A motion recognition and motion technology, applied in the field of motion recognition, can solve problems such as inaccurate inertial raw data, missing recognition, misrecognition of dumbbell motion, etc.

Active Publication Date: 2018-12-18
深圳市虚数科技有限公司
View PDF6 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Patent CN201610423325.X directly uses the raw data of the inertial sensor to compare with the standard action data in the database, which has the following disadvantages: 1. During the process of collecting standard actions, due to the noise of the sensor itself, the corresponding inertial raw data in the standard database may not be accurate enough; 2. Due to interference factors such as temperature, installation position error, and environment, the inertial sensor outputs raw data with a lot of noise in the actual exercise; 3. Theoretically, a single inertial sensor is more likely to produce standard movements similar to dumbbells in non-dumbbell training movements Corresponding sensor raw data; the above shortcomings will lead to misrecognition or missed recognition of dumbbell movement

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
  • Training action identification method
  • Training action identification method
  • Training action identification method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0015] The present invention will be further described in detail below through specific embodiments in conjunction with the accompanying drawings. Wherein, similar elements in different implementations adopt associated similar element numbers. In the following implementation manners, many details are described for better understanding of the present application. However, those skilled in the art can readily recognize that some of the features can be omitted in different situations, or can be replaced by other elements, materials, and methods. In some cases, some operations related to the application are not shown or described in the description, this is to avoid the core part of the application being overwhelmed by too many descriptions, and for those skilled in the art, it is necessary to describe these operations in detail Relevant operations are not necessary, and they can fully understand the relevant operations according to the description in the specification and genera...

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

A training action identification method comprises the steps of: measuring motion parameters of motion, wherein the motion parameters comprise an accelerated speed, an angular speed and a rotation attitude angle; according to a preset constraints model, performing denoising processing for the motion parameters to obtain optimal motion parameters; and employing a classification algorithm to performclassification for the optimal motion parameters to identify the action. According to the limb length and the limb connection relation, the constraints model is established, and the constraints modelis employed to perform denoising for the actually measured motion parameters to obtain the optimal motion parameters so as to allow the motion identification robustness to be higher.

Description

technical field [0001] The present application relates to the technical field of motion recognition, in particular to a training motion recognition method. Background technique [0002] In the process of physical training, it is necessary to scientifically evaluate the motion posture and frequency according to motion parameters (such as motion angular velocity, speed, cycle) to standardize training actions. [0003] "CN201610423325.X An upper limb movement recognition method for intelligent dumbbells" uses an inertial sensor module to collect and process the raw data of its acceleration sensor and gyroscope sensor, and then compare and analyze the data in the database corresponding to specific actions. Realize the recognition of dumbbell movement. [0004] Patent CN201610423325.X directly uses the raw data of the inertial sensor to compare with the standard action data in the database, which has the following disadvantages: 1. During the process of collecting standard actio...

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): A63B71/06
CPCA63B71/0619A63B2220/18A63B2220/34A63B2220/40
Inventor 桂宝佳
Owner 深圳市虚数科技有限公司
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