Fatigue detecting method and system based on comprehensive video feature analysis

A technology of fatigue detection and video features, applied in the direction of instruments, character and pattern recognition, computer components, etc., can solve problems such as inaccuracy, and achieve the effect of improving efficiency, accuracy and speed

Inactive Publication Date: 2014-03-05
SHANGHAI DIANJI UNIV
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Problems solved by technology

But he can only recognize the state of eyes open as awake, and the state of eyes closed as sleepy, which is obviously not accurate enough

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  • Fatigue detecting method and system based on comprehensive video feature analysis
  • Fatigue detecting method and system based on comprehensive video feature analysis
  • Fatigue detecting method and system based on comprehensive video feature analysis

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Embodiment Construction

[0032] The implementation of the present invention is described below through specific examples and in conjunction with the accompanying drawings, and those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific examples, and various modifications and changes can be made to the details in this specification based on different viewpoints and applications without departing from the spirit of the present invention.

[0033] It is not very accurate to judge whether an online learner is tired by closing the eyes or opening the mouth. However, if the mouth stays open for a long time, it can be determined that the learner is fatigued. Therefore, the present invention uses another parameter—the duration of the mouth yawn state and the blinking frequency to judge network learning fatigue. The invention detec...

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Abstract

The invention discloses a fatigue detecting method and a fatigue detecting system based on comprehensive video feature analysis. The method comprises the following steps: obtaining an image frame sequence of a web learner by utilizing a camera-shooting device, and carrying out eye location onto each image frame; judging an opening-closing state of eyes of the web leaner in each image frame; calculating blinking frequency of the web learner according to the judged result of the opening-closing state of the web learner in each image frame; and comparing the obtained blinking frequency of the web leaner with a blinking frequency threshold value to obtain the fatigue detected result. According to the invention, fatigue detecting accuracy and speed of the web learner can be improved, so that a teacher teaching through the network can timely know the mental state of the web learner.

Description

technical field [0001] The invention relates to video image processing technology, in particular to a fatigue detection method and system based on comprehensive video feature analysis. Background technique [0002] At present, there are relatively few studies on learner fatigue detection technology and methods for online education. Liu Jinyi from Shanghai Jiaotong University has done research on learner drowsiness detection technology based on image processing and fuzzy logic for smart classrooms. He analyzed the drowsiness scene in the smart classroom and the actual needs of the detection technology solution, adopted the combination of digital image processing and fuzzy logic as the final research and implementation method, and conducted a simulation test based on the MATLAB platform. This system has the following advantages: it acquires images from the USB camera to detect drowsiness; it has good adaptability to the lighting and background of the test site, as well as the...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
Inventor 杨志和
Owner SHANGHAI DIANJI UNIV
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