The level of stress for drivers will have a greater impact while driving. Driver stress may affect driver performance and creates many accidents. Sometimes many innocent lives are lost because of driver's stress. These levels of stress cannot be measured physically so the abnormalities such as ECG, Eye Blink, Heart rate etc can be monitored from the sensors. Driver behavior parameters like ECG, Eye blinking, speed, steering angle, turn signal can be monitored while driving. These parameters might be helpful to observe driver's distractions. In this paper, to overcome the challenge we have proposed real data collection, (from the two eye blink and heart beat sensors), IoT based sharing and data analytics. This paper mainly helps the driver from accidents and warns the drivers by a prior warning so that they can take necessary precautions.


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    Titel :

    Analyzing Abnormalities While Driving To Avoid Accidents


    Beteiligte:


    Erscheinungsdatum :

    2019-03-01


    Format / Umfang :

    353676 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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