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

Pull-up test system based on face recognition and human body posture estimation

A pull-up, face recognition technology, used in character and pattern recognition, computing, computer parts, etc.

Active Publication Date: 2020-05-19
NAT UNIV OF DEFENSE TECH
View PDF5 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The technical problem to be solved by the present invention is to provide a pull-up test system based on face recognition and human body posture estimation to solve the problems of accurate counting and anti-cheating in the pull-up test; Judging whether the pull-up is standard based on the position information of the neck, to achieve the purpose of accurate counting, and to identify the identity through face recognition, to achieve the purpose of preventing substitute exams

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
  • Pull-up test system based on face recognition and human body posture estimation
  • Pull-up test system based on face recognition and human body posture estimation
  • Pull-up test system based on face recognition and human body posture estimation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0062] Embodiments of the technical solutions of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0063] This new implementation is as figure 1 As shown, it is composed of a camera 1, a camera pillar 2, a pull-up assessor 4, and a pull-up assessor pillar 3.

[0064] Camera 1 is a camera with 300,000 pixels and a maximum resolution of 640 pixels*480 pixels, installed on the top of camera pillar 2, connected with pull-up assessor 4 through a cable, and used to obtain video frames, including face information and human body posture Information, the video frame is sent to the pull-up assessor 4;

[0065] The camera pillar 2 is composed of a chassis 22 and a support rod 21, and the support rod 21 is glued to the chassis 22 by an adhesive. Chassis 22 is conical shape, and lower bottom surface radius is R1, and R1=10~15cm, and upper bottom surface radius is R2, and R2=0.5~1cm, and thickness is H1, and H1=2~3cm, is made of meta...

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

PropertyMeasurementUnit
Thicknessaaaaaaaaaa
Radiusaaaaaaaaaa
Heightaaaaaaaaaa
Login to View More

Abstract

The invention discloses a pull-up test system based on face recognition and human body posture estimation, and aims to solve the problems of accurate counting and cheating prevention in a pull-up test. The system is composed of a camera, a camera supporting column, a pull-up checker and a pull-up checker supporting column. The pull-up checker is composed of a mainboard case, a display screen, a main switch, a power supply assembly and a mainboard. The mainboard case accommodates the mainboard, the power supply assembly, and the display screen and the main switch are installed; pull-up softwarecomposed of an acquisition module, a newly-built input module, an identity comparison module, a counting module, a display module and a database is installed on the mainboard. The newly-built input module and the identity comparison module carries out face recognition through a face recognition algorithm, the counting module estimates the posture of a human body through a human body posture estimation algorithm, and pull-up counting is carried out through video frame pixel coordinates of the double wrists, the nose and the neck of a tested person. The system is reasonable in design, and can accurately detect the number of the pull-up primers and prevent test replacement.

Description

technical field [0001] The invention relates to a test system, in particular to a pull-up test system capable of accurately measuring pull-ups and preventing cheating. Background technique [0002] At present, the daily training and assessment of pull-ups is usually organized by arranging invigilators to conduct one-on-one. The invigilators need to manually check the tester's name and certificate and other information, and then observe the positional relationship between the tester's chin and the horizontal bar during the test to judge Whether the pull-up action is up to standard. This manual counting method is inefficient, time-consuming and labor-intensive during the test process. The long-term and repetitive nature can easily lead to fatigue of the invigilators, and they cannot grasp the standard movements firmly, so it is difficult to record the results objectively and fairly. Contents of the invention [0003] The technical problem to be solved by the present inventi...

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): A63B71/06G06K9/00
CPCA63B71/0619A63B71/06A63B2220/10A63B2220/17G06V40/166G06V40/23G06V40/168G06V40/172G06V20/42G06V20/46Y02D10/00
Inventor 罗磊段雷王帆薛飞陶泽坤祝恩刘新旺李莎莎
Owner NAT UNIV OF DEFENSE TECH
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