With the rapid development of science and technology, intelligent transportation is also booming, and the safety of intelligent transportation has been paid more and more attention. Among accidents, car accidents occupy the first place, accounting for more than 50% of the total number of accidental deaths. Taking automobile accidents as an example, the number of deaths due to traffic accidents in the world has exceeded 30 million, more than the number of deaths in the world war. People, cars, and roads are the three elements of traffic, of which people are the most uncertain factor. In order to reduce car accidents caused by the driver’s body, this paper proposes a STM32-based wireless monitoring method for the driver’s critical life. This method uses ADS1292 and LMT70 collects the driver’s heart rate and body temperature data, the collected data is further processed by STM32, and the processed data is uploaded to the upper computer via WiFi, and the analysis shows. This method can effectively reduce the accident rate caused by drivers and provide a basis for solving the safety problems of intelligent transportation.


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    Title :

    Reserch on Driver Body Monitoring System for Risk Sources of Intelligent Transportation


    Contributors:
    Hu, Zhijie (author) / Li, QinLong (author) / Shen, Ruibing (author)


    Publication date :

    2021-03-01


    Size :

    4041071 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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