A Driver Fatigue Detection System Based on EEG Signal

A technology for driver fatigue and EEG signals, applied in the field of cognitive neuroscience and automatic control, can solve the problems of EEG signal differences, easy camouflage, easy to be affected by environmental factors such as light, etc., to achieve good real-time, Highly sensitive effect

Inactive Publication Date: 2011-12-14
BEIJING NORMAL UNIVERSITY
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Problems solved by technology

However, this type of method has two problems in practical application: (1) it is greatly affected by individual differences, and is also easily affected by environmental factors such as light; (2) these visual features are relatively easy to camouflage, and the driver can fool the system. detection, so that the system does not measure the real fatigue state of the driver
[0012] One of the challenges in fatigue detection based on EEG signals is the variability of EEG signals

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  • A Driver Fatigue Detection System Based on EEG Signal
  • A Driver Fatigue Detection System Based on EEG Signal
  • A Driver Fatigue Detection System Based on EEG Signal

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Embodiment Construction

[0030] The invention describes a driver fatigue detection system based on EEG signals, which monitors the driver's fatigue status in real time by collecting the EEG signals of drivers, thereby avoiding traffic accidents caused by fatigue driving.

[0031] A driver fatigue detection system based on EEG signals described in the present invention includes two processes: off-line training and on-line application. Before using the system, training is required. This process is mainly used to collect the EEG data of the driver under different attention-focusing procedures, and complete the parameter configuration required for the driver's EEG analysis.

[0032] EEG signals vary from person to person. Therefore, before the actual online application, we need to collect the EEG data of the driver in the process of performing tasks of different difficulty, and conduct offline analysis for the EEG data of a specific driver. Carry out offline training for the driver, understand the driver'...

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Abstract

The invention provides a driver fatigue detection system based on electroencephalogram signals, which can detect whether the driver is in a fatigue state in real time and quickly, and avoid fatigue driving as much as possible. The system includes three modules: EEG signal acquisition, EEG signal processing and stimulation and result feedback interface. The signal acquisition module collects the driver's EEG signal in real time, and transmits the EEG signal to the signal processing module. The signal processing module completes the signal processing of the EEG signal, including data preprocessing, feature extraction and pattern classification, judges whether the driver is in a fatigue state, and sends the recognition result to the stimulation and result feedback interface module. The stimulation and result feedback interface completes the connection between the system and the computer or smart phone terminal, and displays the recognition result feedback to the driver. Based on the superiority of EEG signals, the present invention has great advantages in the real-time detection of fatigue state, and can greatly reduce the delay of fatigue detection.

Description

technical field [0001] The invention designs a driver fatigue detection system based on electroencephalogram signals. Specifically, the EEG signal of the driver's brain is collected online and sent to the EEG processing module for real-time analysis to determine whether the driver is in a state of fatigue and give feedback signals such as an alarm. The invention belongs to the combined application of the field of cognitive neuroscience and the field of information technology, and belongs to the field of automatic control technology. Background technique [0002] In real life, drivers need to maintain a high degree of attention during driving. Once they are in a state of inattention or fatigue at work, it may cause very serious consequences. For example, according to the US Federal Bureau of Investigation, 20%-30% of traffic accidents are due to fatigue driving. Therefore, the driving fatigue detection system is of great significance to avoid disasters such as traffic accid...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/18A61B5/0476
Inventor 张家才徐赫姚力吴歆彦
Owner BEIJING NORMAL UNIVERSITY
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