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Fatigue driving monitoring method and terminal

A technology of fatigue driving and monitoring terminal, applied in the field of fatigue detection, can solve the problems of complex background noise of EEG signals, strong, unable to reflect the real state of the driver well, and achieve stable and reliable judgment results and ensure life safety. Effect

Pending Publication Date: 2019-05-21
XIAMEN YAXON NETWORKS CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The traditional method cannot reflect the real state of the driver very well, and the correct rate of judgment is not high. The EEG signal can well reflect the driver's state, but the EEG signal is a complex signal with strong background noise. It is difficult to extract the main features of the signal using traditional processing methods

Method used

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  • Fatigue driving monitoring method and terminal
  • Fatigue driving monitoring method and terminal
  • Fatigue driving monitoring method and terminal

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0064] The invention provides a fatigue driving monitoring method, comprising the following steps:

[0065] S0: Acquire the brainwave signal every preset first time, and sample the brainwave signal at a frequency of 900-1000 Hz to obtain the brainwave signal sequence μ (the sequence μ is the discrete time signal of the brainwave);

[0066] Wherein, the preferred first time is 0.2s;

[0067] S1: Divide the brain wave signal sequence μ into N groups to obtain N groups of brain wave signal sequences, each group of electric wave signal sequences includes ω points, where the kth group of brain wave signal sequences is expressed as μ(i,k)(0

[0068] S2: Perform least squares data fitting on the data of each group of brain wave signal sequences to obtain the fitting sequence corresponding to each group of brain wave signal sequences, wh...

Embodiment 2

[0083] The present invention provides a fatigue driving monitoring terminal, comprising a memory, a processor, and a computer program stored on the memory and operable on the processor, and the processor implements the following steps when executing the program:

[0084] S0: Acquire the brainwave signal every preset first time, and sample the brainwave signal at a frequency of 900-1000 Hz to obtain the brainwave signal sequence μ (the sequence μ is the discrete time signal of the brainwave);

[0085] Wherein, the preferred first time is 0.2s;

[0086] S1: Divide the brain wave signal sequence μ into N groups to obtain N groups of brain wave signal sequences, each group of electric wave signal sequences includes ω points, where the kth group of brain wave signal sequences is expressed as μ(i,k)(0

[0087] S2: Perform least squares...

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Abstract

The invention provides a fatigue driving monitoring method and a terminal. The method comprises the steps that a brain wave signal sequence mu is divided into N sets, and each set comprises omega points, wherein the kth set of brain wave signal sequence is shown as mu (i, k) (0<k<=N and 0<i<=omega), the two adjacent sequences have coincident points, and i is the ith point in the kth set of the brain wave signal sequence; least square method data fitting is performed on the data of each set of brain wave signal sequence, and a fitting sequence w (i, k) corresponding to each set of the brain wave signal sequence is obtained; a root-mean-square fluctuation value F(omega) of the brain wave signal sequence is obtained through calculation; the slope alpha of a linear regression line of logaF(omega) and loga omega is calculated, if alpha is within the preset slope threshold value, it is determined that the state is the normal driving state, and if not, it is determined that the state is the fatigue driving state. According to the method, intensive background noise in brain wave signals can be effectively removed, the fatigue driving judging stability and reliability are improved, and thelife safety of a driver and passengers are indirectly ensured.

Description

technical field [0001] The invention relates to the technical field of fatigue detection, in particular to a fatigue driving monitoring method and terminal. Background technique [0002] With the improvement of people's quality of life and living standards, more and more people prefer to travel by self-driving cars. The driver is the person most concerned by the passengers, because the driver is directly related to the safety of passengers' lives and property. Drivers are prone to fatigue driving due to long-time driving, lack of sleep or poor quality, circadian rhythm, driver factors, etc. Fatigue driving is one of the important causes of traffic accidents. How to judge whether the driver is in a fatigue state in time and give an early warning when the driver enters a fatigue driving state has become an important research topic for various countries and major automobile manufacturers. [0003] Traditional discrimination methods include methods based on driving behavior, e...

Claims

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Application Information

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IPC IPC(8): A61B5/0476A61B5/00G08B21/06
Inventor 童国顺游锋锋张锦煌杨俊辉
Owner XIAMEN YAXON NETWORKS CO LTD