Hand physiological information detection method

A detection method and physiological information technology, applied in neural learning methods, computer components, biological neural network models, etc., can solve problems such as inaccuracy, increased detection time, manpower and material resources, and inability to directly determine hand flexibility , to improve efficiency and accuracy

Pending Publication Date: 2019-07-05
QINGDAO HAIBO TECH INFORMATION SYST CO LTD
View PDF0 Cites 11 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In machine detection, the current common detection technology is to use the hand photo image matting technology to determine the integrity of the hand. When the hand is wearing gloves, accessories, large-area color interference, wearing artificial limbs, etc., the measurement data will be There will be inaccuracies, and the dexterity of the hand cannot be directly judged. Manpower is required for auxiliary detection, which increases the time, manpower, and material resources of the detection.

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
  • Hand physiological information detection method
  • Hand physiological information detection method
  • Hand physiological information detection method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0067] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the spirit of the disclosure of the present invention will be clearly described below with the accompanying drawings and detailed descriptions. Any person skilled in the art will understand the embodiments of the present invention. , when it can be changed and modified by the technology taught in the content of the present invention, it does not depart from the spirit and scope of the content of the present invention.

[0068] The exemplary embodiments and descriptions of the present invention are used to explain the present invention, but not to limit the present invention. In addition, elements / members with the same or similar numbers used in the drawings and embodiments are used to represent the same or similar parts.

[0069] As used herein, "first", "second", ... etc. do not refer to a particular sequence or order, nor are they used to limit the pre...

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 relates to a hand physiological information detection method, which comprises the following specific steps of: detecting hand integrity; detecting wrist flexibility; finger flexibility detection. The invention provides a hand physiological information processing method based on a skeleton key point dynamic identification technology. A hand in motion is scanned in real time, and computer analysis is carried out through a unique algorithm and a model, so that hand information can be analyzed and processed quickly and accurately, data analysis is carried out on related information such as whether hand skeleton key points, hand wrist and upper limb functions are perfect and hand integrity and hand coordination, and accurate integrity and flexibility detection results are given.

Description

technical field [0001] The invention relates to a hand physiological information detection and processing method based on the dynamic recognition technology of bone key points, belonging to the technical field of video image processing Background technique [0002] The "Regulations on the Application and Use of Motor Vehicle Driving Licenses (2016 Edition)" requires the driver's license applicants to have hands as follows: the thumbs of both hands must be sound, the other fingers of each hand must have three fingers, and the motor functions of the limbs and fingers should be normal. Those who have incomplete finger tips or have three healthy fingers on their left hand and have intact palms of both hands can apply for a motor vehicle driver's license for a permitted type of small car, small automatic transmission car, low-speed truck, or three-wheeled car; Those who have motor functions but are able to sit and stand independently, and whose upper limbs meet the requirements, ...

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): G06K9/00G06K9/46G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06V40/107G06V40/117G06V40/28G06V20/46G06V20/41G06V10/56G06N3/045G06F18/2414
Inventor 韩东明谢凡寇瑜琨丁义雄
Owner QINGDAO HAIBO TECH INFORMATION SYST CO LTD
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