An online examination cheating judgment method based on Kinect color and depth information

A depth information, color technology, applied in the direction of instrument, calculation, acquisition/recognition of facial features, etc., can solve problems such as lack of credibility, and achieve the effect of improving recognition ability and accuracy, wide application prospects, and improved recognition efficiency

Active Publication Date: 2019-04-09
ANHUI UNIVERSITY OF TECHNOLOGY
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AI Technical Summary

Problems solved by technology

However, the characteristics of online education also have disadvantages in the examination and assessment process
The unsupervised or limitedly supervised testing environment

Method used

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  • An online examination cheating judgment method based on Kinect color and depth information
  • An online examination cheating judgment method based on Kinect color and depth information
  • An online examination cheating judgment method based on Kinect color and depth information

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Experimental program
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Embodiment

[0081] The present invention will be described in detail below with reference to the accompanying drawings and examples.

[0082] A method for judging cheating in online exams based on Kinect color and depth information, its steps are as follows:

[0083] (1) Acquisition of facial and torso movement data, specifically including the following sub-steps:

[0084] (1.1) 10 groups of test volunteers simulated the online test situation, respectively simulating normal answering and attempting to cheat.

[0085] (1.2) Place the Kinect in front of the examiner's computer, and use the software to collect real-time facial feature point information and upper body movement feature point information.

[0086] (2) Face and trunk movement data preprocessing, specifically including the following sub-steps:

[0087] (2.1) Carry out denoising processing to the face feature points and body movement feature points extracted from Kinect respectively, get rid of some noise points that Kinect take...

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Abstract

The invention relates to image processing, computer vision and machine learning fields, in particular to an online examination cheating judgment method based on Kinect color and depth information. Themethod comprises eight steps of face and trunk motion data acquisition, face and trunk motion data preprocessing, face and trunk motion data input, face and trunk motion training network construction, trunk motion training network construction, summary training network construction, network performance optimization by the training network and network performance test verification by a test network. According to the method, the advantages of rich, practical, real and reliable feature data returned by the Kinect to the human face and the trunk joint are fully utilized; combined with deep learning, the convenience of opening online courses on a large scale can be fully exerted, quality supervision can be carried out on online assessment, and the problem that a learner generally lacks credibility in society due to the fact that the learner is in a common unsupervised or limited supervised test environment before the computer of the learner is mainly solved.

Description

technical field [0001] The invention relates to the fields of image processing, computer vision and machine learning, in particular to a method for judging cheating in online exams based on Kinect color and depth information. Background technique [0002] Massive Open Online Course (MOOC) is an open new online education course that allows tens of thousands of global learners to register and learn. Learners can participate in learning and assessment by logging into the online MOOC classroom at home or anywhere. Because MOOC has subverted the traditional school-style teaching, it has the advantages of high efficiency, strong self-selection of learners, and strong sharing of high-quality educational resources. The education industry is also generally accepting this new education method. However, the characteristics of online education also have disadvantages in the examination and assessment process. The unsupervised or limitedly supervised testing environment in which learn...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62
CPCG06V40/172G06V40/174G06V40/103G06F18/2413G06F18/24147
Inventor 王旭晨刘宏申
Owner ANHUI UNIVERSITY OF TECHNOLOGY
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