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A Wearable Brain-Computer Interface System for Fatigue Detection in Driving

Published: 28 February 2024 Publication History

Abstract

Fatigue driving poses a significant threat to driver safety, leading to an increased risk of traffic accidents and potential harm to both life and property. Traditional fatigue detection methods, such as machine vision, are low effective due to factors such as lighting conditions and obstructions such as the presence of glasses. To address this issue and achieve more accurate fatigue detection, we design a Brain-computer interface (BCI) fatigue driving detection system based on electroencephalography (EEG) and electrooculography (EOG), specifically for measuring the fatigue level of drivers. The system includes three categories of fatigue level recognition. EEG and EOG data obtained from 10 subjects are classified using algorithms encapsulated in the main system. Remarkably, the system achieves an impressive average accuracy of 80.475% in recognizing fatigue levels, providing timely fatigue driving warnings as crucial feedback to the subjects. Additionally, the main system offers interactive features, including managing driver information and monitoring driver status. The system achieves real-time fatigue driving warnings and proposes a new method for detecting driving fatigue.

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  • (2024)Design of a Fatigue Driving Warning System Utilizing Brain-Computer Interface (BCI) Technology2024 3rd International Symposium on Sensor Technology and Control (ISSTC)10.1109/ISSTC63573.2024.10824207(190-193)Online publication date: 25-Oct-2024

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  1. A Wearable Brain-Computer Interface System for Fatigue Detection in Driving

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    cover image ACM Other conferences
    ICCPR '23: Proceedings of the 2023 12th International Conference on Computing and Pattern Recognition
    October 2023
    589 pages
    ISBN:9798400707988
    DOI:10.1145/3633637
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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    Publication History

    Published: 28 February 2024

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    Author Tags

    1. Brain-computer interface
    2. Driving fatigue
    3. Electroencephalography
    4. Electrooculography

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    • (2024)Design of a Fatigue Driving Warning System Utilizing Brain-Computer Interface (BCI) Technology2024 3rd International Symposium on Sensor Technology and Control (ISSTC)10.1109/ISSTC63573.2024.10824207(190-193)Online publication date: 25-Oct-2024

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