Facial-feature-extraction-based fatigue monitoring system

A technology of fatigue monitoring and facial features, applied to instruments, character and pattern recognition, computer components, etc., can solve the problems of no expansion of fatigue detection, no feedback of fatigue history records, single fatigue features, etc., and achieve low price , avoid misjudgment, the effect of simple equipment

Inactive Publication Date: 2017-09-29
BEIHANG UNIV
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  • Abstract
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AI Technical Summary

Problems solved by technology

[0003] 1. The fatigue feature is too single, and only detects eye fatigue;
[0004] 2. Almost all of them are used for the detection of the driving process, and the fatigue detection has not been expanded to all aspects of life;
[0005] 3. It only reflects the current state, without a complete history of fatigue feedback to users for improvement

Method used

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  • Facial-feature-extraction-based fatigue monitoring system
  • Facial-feature-extraction-based fatigue monitoring system

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specific Embodiment approach

[0018] combine figure 1 and figure 2 , The fatigue monitoring system based on "face feature extraction" includes a hardware platform and a software platform. The hardware platform is a CMOS camera, and the PC-side MATLAB is used as a data processing platform. The terminal app feeds back the current results in real time and generates a daily fatigue state change curve. The system extracts facial features in real time through the USB camera, processes the image on the PC-side MATLAB platform, judges the fatigue state, and sends the results to the app. Provide real-time feedback on the fatigue state on the mobile terminal, and generate a daily fatigue state change curve.

[0019] The first part: Use the usb camera to collect face information in real time.

[0020] The second part: the MATLAB platform judges the facial features of the face information collected in real time.

[0021] Before performing face fatigue detection, we need to locate the faces in the pictures collecte...

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Abstract

The invention discloses a facial-feature-extraction-based fatigue monitoring system, which relates to the fatigue monitoring detection field. According to the facial-feature-extraction-based fatigue monitoring system, with a simple app, a fatigue state of a user is recorded in real time and is fed back, thereby alarming and warning users. Therefore, the daily fatigue state can be changed to generate a curve and thus the user can arrange the own working time conveniently. The system can be used for monitoring the fatigue state change of the user during the whole learning process and / or working process.

Description

technical field [0001] The invention relates to the field of fatigue driving detection, in particular to a fatigue monitoring system based on "human face feature extraction". Background technique [0002] At present, fatigue detection is mainly used in the process of car driving, which has the following disadvantages: [0003] 1. The fatigue feature is too single, and only detects eye fatigue; [0004] 2. Almost all of them are used for the detection of the driving process, and the fatigue detection has not been expanded to all aspects of life; [0005] 3. It only reflects the current state, and does not carry out a complete fatigue history feedback to the user for improvement. Contents of the invention [0006] The technical problem to be solved by the present invention is to provide a fatigue monitoring system based on "face feature extraction", which can record the user's fatigue state in real time through a simple app, and can also provide feedback and alarm to remin...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G08B21/06
CPCG08B21/06G06V40/168G06V20/597
Inventor 林曦鹏李元衡王栋
Owner BEIHANG UNIV
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