Fatigue level was studied using ECG signals collected from smart bracelet, and the data collected from the smart bracelet could reduce the interference to the driver during the experiment, increase the accuracy of the data. In order to accurately fatigue level, the algorithm of driving fatigue level was proposed based on multi-index fusion theory. Aiming at the missing status of the comprehensive indicator T value from principal component analysis, BP neural network was used for data compensation. The threshold of fatigue level was determined on the basis of the peak trough of the comprehensive index T value. Based on experimental analysis, it was found that the algorithm can effectively identify the wide awake and severe fatigue states when the data was missing.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Research on Driving Fatigue Level Using ECG Signal from Smart Bracelet


    Weitere Titelangaben:

    Lect. Notes Electrical Eng.


    Beteiligte:
    Wang, Wuhong (Herausgeber:in) / Baumann, Martin (Herausgeber:in) / Jiang, Xiaobei (Herausgeber:in) / Tan, Jiyuan (Autor:in) / Shi, Xiang-yun (Autor:in) / Guo, Weiwei (Autor:in)


    Erscheinungsdatum :

    2020-03-24


    Format / Umfang :

    12 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Research on Driving Fatigue Level Using ECG Signal from Smart Bracelet

    Tan, Jiyuan / Shi, Xiang-yun / Guo, Weiwei | British Library Conference Proceedings | 2020


    Research on Driving Fatigue Level Using ECG Signal from Smart Bracelet

    Tan, Jiyuan / Shi, Xiang-yun / Guo, Weiwei | TIBKAT | 2020


    Vehicle-mounted fatigue driving detection system and wearable reminding bracelet

    WANG PING / MU ZHENDONG | Europäisches Patentamt | 2021

    Freier Zugriff

    Smart bracelet and use method

    LI QIUYUAN / YANG WEIZENG / LUO ZHONGGENG | Europäisches Patentamt | 2021

    Freier Zugriff

    Smart bracelet with drowning detection function

    XIA JINCHUN / XUE SONG | Europäisches Patentamt | 2024

    Freier Zugriff