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Fatigue detection and early warning method based on brain wave acquisition and system thereof

A fatigue detection and early warning system technology, which is applied in alarms, diagnostic records/measurements, medical science, etc., can solve problems such as poor reliability and driver detection, and achieve the effects of improving robustness and saving resources

Inactive Publication Date: 2016-06-22
成都远控科技有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

There is no method and device for detecting whether the driver is in a fatigue state based on brain waves in the prior art, or the reliability of the method for detecting whether the driver is in a fatigue state is poor

Method used

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  • Fatigue detection and early warning method based on brain wave acquisition and system thereof
  • Fatigue detection and early warning method based on brain wave acquisition and system thereof

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Embodiment Construction

[0035] Describe technical scheme of the present invention in further detail below in conjunction with accompanying drawing: as figure 1 As shown, the fatigue detection and early warning method based on brain wave collection includes an index acquisition step and a monitoring and early warning step. The index acquisition step includes the following sub-steps:

[0036] S11: Measure the brain waves through the sensor, and at the same time use a high-definition camera to record the facial features of the subject in real time, and obtain the brain wave data and eye blink data of the subject under different fatigue states;

[0037] S12: Perform denoising processing on the brain wave data, and then perform fast Fourier transform to convert the brain wave data mainly in the time domain into frequency domain data;

[0038] S13: Sequentially extract the brain wave data fragments of the sample under different fatigue states, sort out the corresponding video data, and extract the blink fe...

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Abstract

The invention discloses a fatigue detection and early warning method based on brain wave acquisition and a system thereof. The method comprises an indicator acquisition step and a monitoring and early warning step. In the indicator acquisition phase, correlation judgment is performed on brain wave and blink characteristic values so that robustness of latter data detection can be enhanced. According to the analysis result, slow alpha% of power percentage indicators and slow alpha / beta and theta / slow alpha of power ratio indicators act as auxiliary examination indicators in the sleepy state in the monitoring and early warning step, and (theta+slow alpha) / beta of power adding ratio indicators and slow alpha / beta of the power ratio indicators act as the auxiliary examination indicators in the sleep state in the monitoring and early warning step so that different modes of detection can be performed on the fatigue of different levels, and different modes of early warning can be performed on the fatigue of different levels.

Description

technical field [0001] The invention relates to a fatigue detection and early warning method and system based on brain wave collection. Background technique [0002] With the rapid development of the modern transportation industry, traffic accidents have become a serious problem facing the world. It is of great practical significance to study how to effectively prevent and monitor the driver's fatigue driving state. Fatigue driving refers to the phenomenon that the driver's driving skills decline objectively due to the imbalance of physiological and psychological functions caused by the driver's continuous driving for a long time. From a medical point of view, changes in certain physiological characteristics, such as blinking, yawning, heartbeat, blood pressure, and brain waves, can reflect the degree of controller fatigue. [0003] Electroencephalogram (Electroencephalogram, EEG) is formed after the sum of the synchronous post-synaptic potentials of a large number of neuro...

Claims

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Application Information

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IPC IPC(8): G08B21/06A61B5/0476A61B5/18
CPCA61B5/168A61B5/18A61B5/7203A61B5/7275A61B5/746A61B2503/22A61B5/316A61B5/369G08B21/06
Inventor 谢仲华
Owner 成都远控科技有限公司
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