Real-time driving fatigue detection system and detection method based on bluetooth EEG headset

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...

AI Technical Summary

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 large-scale brain-computer interface equipment volume in the existing research on driving fatigue detection. Large, high cost, can not be widely used in practice, has the advantages of small size, low cost, easy to use, easy to carry, etc.

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