Real-time driving fatigue detection system and detection method based on Bluetooth electroencephalogram headset

A driving fatigue detection system technology, applied in computer parts, diagnostic recording/measurement, medical science, etc., can solve the problems of large size, inability to be widely used, and high cost of large-scale brain-computer interface equipment

Active Publication Date: 2016-01-20
SOUTHEAST UNIV
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Problems solved by technology

[0005] Purpose of the invention: In order to overcome the deficiencies in the prior art, the present invention provides a real-time driving fatigue detection system and detection method based on Bluetooth EEG headsets, which overcomes the

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  • Real-time driving fatigue detection system and detection method based on Bluetooth electroencephalogram headset
  • Real-time driving fatigue detection system and detection method based on Bluetooth electroencephalogram headset
  • Real-time driving fatigue detection system and detection method based on Bluetooth electroencephalogram headset

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Embodiment

[0086] The present invention adopts MindWaveMobile and Android intelligent mobile phone to form driver fatigue driving detection system. The overall frame diagram of the driver fatigue driving detection system based on EEG headset is attached figure 1 . It consists of two parts, the driver and the mobile phone server. The structure diagram of the system, see the attached figure 2 , the driver wears a MindWaveMobile EEG headset. The headset obtains the driver’s brain wave voltage value in real time through the dry electrodes attached to the forehead and ears, and converts the voltage value into a digital signal reflecting the characteristics of the brain wave parameters through a built-in algorithm. It is sent to the smart book server through Bluetooth, and the smart phone obtains the current fatigue state of the driver according to the algorithm in the fatigue judgment program, and feeds back to the driver through the voice and vibration of the mobile phone.

[0087] Syste...

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Abstract

The invention discloses a fatigue state detection method. According to the method, electroencephalogram signals and winking signals of a driver are collected for joint judgment of the mental state of the driver, and fatigue alarm signals are fed back to the driver. The method comprises the following steps: collecting the electroencephalogram signals and the winking signals by utilizing a MindWave Bluetooth electroencephalogram headset; conducting feature extraction and artifact elimination on an original electroencephalogram signal Rawdata by discretizing short-time Fourier transform; comparing the obtained low alpha, high alpha, and theta waves with electroencephalogram signals in the normal state, so as to obtain three electroencephalogram fatigue parameters; adding the electroencephalogram fatigue parameters together by weight, and combining the winking frequency of the driver with the adding result to obtain five mental features: normal, slight fatigue, fatigue, too much fatigue and severe fatigue; feeding back the corresponding fatigue alarm signals to the driver through a smart phone, so as to remind the driver to have a rest in time. The method combines electroencephalogram and the winking frequency for fatigue detection, so as to enhance the precision and the robustness of system detection, and has such characteristics as convenient wearing of the MindWave Bluetooth electroencephalogram headset and high efficiency.

Description

technical field [0001] The present invention relates to a method and equipment for real-time detection of driver's driving fatigue state, especially including a driver's fatigue detection method and system based on MindWave brain computer headset and smart phone. 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. [0003] At present, driver fatigue detection technology can generally be divided into subjective detection and objective monitoring. Subjective detection is performed by oneself or others through subjective questionnaires...

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Application Information

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IPC IPC(8): A61B5/0476A61B5/00G06K9/00
Inventor 曾洪赵维政焦越王乙李敬王玲宋爱国
Owner SOUTHEAST UNIV
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