Fatigue detection system based on multi-source information fusion and operation method thereof

A multi-source information fusion and fatigue detection technology, applied in the field of fatigue detection system based on multi-source information fusion, can solve problems such as intrusive testing, false detection, missed detection, etc., to avoid accidents, expand coverage, and enhance diversity Effect

Inactive Publication Date: 2022-05-31
上海济垚软件科技有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

But each fatigue detection prevention has its own pitfalls, such as intrusive testing, false detection and missed detection, etc.

Method used

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  • Fatigue detection system based on multi-source information fusion and operation method thereof
  • Fatigue detection system based on multi-source information fusion and operation method thereof
  • Fatigue detection system based on multi-source information fusion and operation method thereof

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Embodiment Construction

[0048] Hereinafter, exemplary embodiments according to the present application will be described in detail with reference to the accompanying drawings. Apparently, the described embodiments are only some of the embodiments of the present application, rather than all the embodiments of the present application. It should be understood that the present application is not limited by the exemplary embodiments described here.

[0049] Scenario overview

[0050] As mentioned above, fatigue driving is very likely to cause traffic accidents. It refers to the phenomenon that the driver's physiological and psychological functions are out of balance after driving continuously for a long time, and the phenomenon of objectively declining driving skills occurs. Drivers with poor or insufficient sleep quality and driving for a long time are prone to fatigue due to lack of endogenous oxygen.

[0051] Fatigue driving detection technology plays a vital role in road safety. In the prior art, ...

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Abstract

The invention relates to the field of fatigue driving intelligent detection, and particularly discloses a fatigue detection system based on multi-source information fusion and an operation method of the fatigue detection system. Deep feature extraction is carried out on an electroencephalogram signal graph of each time point in a plurality of time points through a convolutional neural network; carrying out global motion associated information extraction on the vehicle motion information at each time point by using a context-based encoder model, and further carrying out processing by periodic chaotic mapping so as to improve random distribution of high-dimensional features in the signal feature map; the improved feature distribution can expand the coverage range of a feature set, enhance the diversity of feature value positions, and improve the global optimization capability. In this way, whether the driver is in fatigue driving or not can be accurately detected, and then accidents are avoided.

Description

technical field [0001] The present invention relates to the field of intelligent detection of fatigue driving, and more specifically, relates to a fatigue detection system based on multi-source information fusion and an operation method thereof. Background technique [0002] Fatigue driving is very likely to cause traffic accidents. It refers to the phenomenon that the driver's physiological and psychological functions become imbalanced after driving continuously for a long time, and the driving skills decline objectively. Drivers with poor or insufficient sleep quality and driving for a long time are prone to fatigue due to lack of endogenous oxygen. [0003] Fatigue driving detection technology plays a vital role in road safety. In the prior art, there are various fatigue detection schemes, for example, based on driver physiological signals, based on facial features, based on vehicle motion information, and so on. But each fatigue detection prevention has its own flaws, ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62G06N3/04
CPCG06N3/045G06F2218/08G06F2218/12G06F18/2415G06F18/253
Inventor 江奇峰
Owner 上海济垚软件科技有限公司
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