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A Driver Fatigue Detection Method Based on Facial Motion Unit Recognition

A driver fatigue and motion unit technology, applied in diagnostic recording/measurement, medical science, sensors, etc., can solve the problems of subjectivity, non-real-time, and expensive equipment in the subjective questionnaire method, and achieve convenient and practical visual information, improve efficiency effect

Active Publication Date: 2016-07-20
GUANGDONG UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

The main problem of the subjective questionnaire method is its subjectivity. It is more accurate to use special medical instruments, but it requires special expensive equipment, professional operators, and the cooperation of the subjects. occasion
A common problem in the above two methods is that they are advanced or lagging, and they are not real-time, and the mental state of the subject may be different during the measurement and before and after the measurement

Method used

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  • A Driver Fatigue Detection Method Based on Facial Motion Unit Recognition
  • A Driver Fatigue Detection Method Based on Facial Motion Unit Recognition
  • A Driver Fatigue Detection Method Based on Facial Motion Unit Recognition

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Embodiment

[0030] The driver's fatigue detection method based on facial motion unit recognition of the present invention comprises the following steps:

[0031] 1) Locate the face area from the video sequence;

[0032] 2) Locate and divide the key feature points of the face;

[0033] 3) Extract motion features from the corresponding areas of the face in multiple frames of images;

[0034] 4) Classify and identify the extracted motion features and mark them with the motion unit AU;

[0035] 5) Detect fatigue through facial motion units.

[0036] The specific method of locating the face area from the video sequence in the above step 1) is: using the face detection algorithm based on AdaBoost (adaptive enhanced learning algorithm) proposed by Viola (Viola), the method first calculates the different areas of the picture Haar-like (Haar-like) eigenvalues, and then use the adaptive reinforcement learning algorithm (AdaBoost) to train the cascaded classifier; finally, the eigenvalues ​​are p...

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Abstract

The invention is a driver fatigue detection method based on facial motion unit recognition. It includes the following steps: 1) Locating the face area from the video sequence; 2) Locating the key feature points of the face and dividing the area; 3) Extracting motion features from the corresponding areas of the face in multiple frames of images; 4) Classify and identify the extracted motion features, and mark them with motion units AU; 5) Detect fatigue through facial motion units. The present invention is a convenient and practical driver fatigue detection method based on facial motion unit recognition, which can extract the appearance characteristics of the face under the fatigue state from the appearance state of the face, and thus can obtain more stable and rich visual information.

Description

technical field [0001] The invention is a driver fatigue detection method based on facial motion unit recognition, which belongs to the innovative technology of the driver fatigue detection method based on facial motion unit recognition. Background technique [0002] Fatigue is a complex physiological and psychological phenomenon. It is difficult to make a quantitative standard description in theory, and the phenomenon also shows diversity due to individual differences. In work, the degree of fatigue is often indirectly judged according to the operator's behavioral ability and work efficiency. Medically, fatigue is considered to be the feeling of sleepiness and burnout in the human body, and it is a signal that the body needs to relax and rest. [0003] The measurement of fatigue is divided into subjective and objective methods. The subjective research methods include subjective questionnaire, driver self-record, sleep habit questionnaire, and Stanford sleep scale. Objecti...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): A61B5/18
Inventor 张灵丁伍洋
Owner GUANGDONG UNIV OF TECH