Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

User identity recognition method based on hand exercise

A technology of user identification and hand movement, applied in the field of identification, can solve the problems of lack of convenience and achieve the effect of simple equipment, less information, and convenient operation

Inactive Publication Date: 2014-11-19
ZHEJIANG UNIV
View PDF3 Cites 11 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Generally speaking, this type of identification method requires the help of additional equipment, and requires the user to cooperate with wearing it, which is not convenient enough, and some are only applicable to specific platforms.

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
  • User identity recognition method based on hand exercise
  • User identity recognition method based on hand exercise
  • User identity recognition method based on hand exercise

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0025] The present invention will be described in detail below in conjunction with the accompanying drawings.

[0026] Such as figure 1 As shown, the user identification method based on hand movement of the present invention is divided into an offline stage and an online stage.

[0027] In the offline stage, a user identification model is established. Include the following sub-steps:

[0028] 1. Acquisition of hand movement trajectory: the present invention uses the human hand movement trajectory as input, and uses a depth camera to track and record the human hand movement trajectory. The user stands directly in front of the depth camera, facing the depth camera, and waving his arm naturally for trajectory recording; the continuous movement trajectory of the user's waving arms in the front, back, left and right, and up and down directions is collected by the depth camera, and the movement trajectory is equal to the sampling points of the same time. Save in the form of spati...

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 a user identity recognition method based on hand exercise. Identity recognition is achieved by means of hand exercise characteristics of users. The method comprises an off-line stage and an on-line stage. In the off-line stage, hand exercise tracks of all the users to be recognized are recorded through a depth camera, then the tracks are segmented, space-time parameters are extracted from the segmented tracks to be used as characteristic information, and finally the characteristic data are trained by means of a machine learning method to obtain a user identity recognition model. In the on-line stage, the hand exercise tracks of the users are collected similarly, and segmentation and characteristic extraction are carried out on the tracks. Then, on-line recognition is carried out on the tracks through the user identity recognition model obtained in the off-line stage. According to the user identity recognition method, with the help of the depth camera, identity recognition is achieved by means of hand exercise behaviors of the users, physiological characteristics and behavioral characteristics of the users are combined, and the user identity recognition method has the advantages of being capable of being carried with the users, universal, noninvasive, receptible and the like.

Description

technical field [0001] The invention relates to the field of identification, in particular to a user identification method based on hand movement. Background technique [0002] With the development of the times and technology, the importance of user identification in people's life and work has become increasingly apparent. User identification can effectively guarantee the security of access and is the basis of the information security system. Traditional user identification methods include password identification and identification of identification items such as smart cards. However, due to their inherent limitations, they are far from meeting the requirements. Passwords are easily forgotten, and items such as smart cards can be lost, and once they are lost or stolen, the identity of their representatives can be easily impersonated. [0003] Biometric-based identification technology is a research hotspot in the field of identification. Biological characteristics are furt...

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): G06F21/32G06K9/00
CPCG06F21/32G06V40/28
Inventor 万华根谭倩雯郑文庭
Owner ZHEJIANG UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com