Method and system of application deportment testing based on kinect

A test method and technology of appearance, which is applied in the field of kinect-based job hunting appearance test method and its system, can solve the problems of subjectivity and randomness limitations of appearance detection, and achieve the effect of objective and accurate detection results

Active Publication Date: 2017-05-10
CENT SOUTH UNIV
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Problems solved by technology

[0003] The purpose of the present invention is to provide a kinect-based job search demeanor testing method and its sys

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  • Method and system of application deportment testing based on kinect
  • Method and system of application deportment testing based on kinect

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Embodiment Construction

[0020] The embodiments of the present invention will be described in detail below with reference to the accompanying drawings, but the present invention can be implemented in many different ways defined and covered by the claims.

[0021] Embodiments of the present invention first disclose a kinect-based job-seeking demeanor testing method, the data collected by the method is obtained by reading and driving the above kinect infrared depth sensor through the API (Application Programming Interface) of the SDK (Software Development Kit) provided by Microsoft The required data, its specific form includes but is not limited to reading the kinect infrared depth sensor on the driver through the SDK API provided by Microsoft.

[0022] Such as figure 1 As shown, the process of a kinect-based job hunting demeanor testing method includes:

[0023] Step S1, extract the coordinate values ​​of the left shoulder node, right shoulder node, torso node, head node, neck node, left hand node, ri...

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Abstract

The objective of the invention is to provide a method and system of application deportment testing based on a kinect to solve the current technical problem that the deportment detection has subjectivity, randomness and boundedness. The method comprises: extracting the coordinate values of a left shoulder node, a right shoulder node, a trunk node, a head node, a neck node, a left hand node, a right hand node, a left leg end node and a right leg end node in the kinect collection space location information and the feature values of eye portion information and the feature values of nose information in the face identification information; calculating the slope in the plane according to the collected node coordinates to determine the head state, calculating the arm state according to the coordinates of the left hand node, the right hand node, the left shoulder node and the right shoulder node, and determining the states of both feet according to the coordinates of the left leg end node and the right leg end node; determining the eye state according to the feature values of eye portion information; and combining the eye state, the upper body state, the head state, the states of both arms and the states of both feet to make out the deportment testing result.

Description

technical field [0001] The invention relates to the field of dynamic identification, in particular to a kinect-based job hunting demeanor testing method and system thereof. Background technique [0002] Many jobs have high requirements on the demeanor of job seekers. Traditional demeanor tests are generally judged by job seekers themselves or people around them based on books, the Internet or experience, which has shortcomings such as subjectivity, randomness and limitations. The face recognition and bone tracking functions provided by the kinect infrared depth sensor make it possible for human-computer interaction to train or test one's own posture. Contents of the invention [0003] The purpose of the present invention is to provide a kinect-based job hunting demeanor testing method and system thereof, so as to solve the prior art problems of subjectivity, randomness and limitations in existing demeanor testing. [0004] In order to achieve the above object, the present...

Claims

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Application Information

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IPC IPC(8): G01J5/00
CPCG01J5/0025
Inventor 胡幽蒋直平于健昕康天楠方森然党伟然
Owner CENT SOUTH UNIV
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