{"title":"STM32F103-Based Intelligent Headrest Driving Safety Perception System Design","authors":"Junjie Yin, Zhihai Sun","doi":"10.1109/AINIT59027.2023.10212467","DOIUrl":null,"url":null,"abstract":"In the context of China's sustained and rapid economic development, the layout of intelligent road traffic facilities is increasingly improved, and the automotive industry and related hardware and equipment industries are showing rapid growth. Meanwhile, advanced digital technologies such as 5G communication, cloud computing, and big data are empowering the intelligence and networking of the automotive industry, heralding the development direction of the intelligence of automobiles and in-vehicle systems. The neck-based intelligent driving assistance system mainly monitors the driver's physical status and behavioral characteristics in real-time by means of neck sensors and surrounding environment sensors and thus provides accurate driving assistance and safety assurance. Based on this, we address the pain point of frequent traffic accidents, and the article designs an intelligent driving assistance system that integrates neck-based analysis of health indicators such as body temperature, heart rate, blood oxygen, and monitoring of driver behavior status to provide a complete and reliable solution for safe and healthy driving. This paper introduces the design method of the monitoring device, mainly including the design principle, structural composition, and program design.","PeriodicalId":276778,"journal":{"name":"2023 4th International Seminar on Artificial Intelligence, Networking and Information Technology (AINIT)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 4th International Seminar on Artificial Intelligence, Networking and Information Technology (AINIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AINIT59027.2023.10212467","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In the context of China's sustained and rapid economic development, the layout of intelligent road traffic facilities is increasingly improved, and the automotive industry and related hardware and equipment industries are showing rapid growth. Meanwhile, advanced digital technologies such as 5G communication, cloud computing, and big data are empowering the intelligence and networking of the automotive industry, heralding the development direction of the intelligence of automobiles and in-vehicle systems. The neck-based intelligent driving assistance system mainly monitors the driver's physical status and behavioral characteristics in real-time by means of neck sensors and surrounding environment sensors and thus provides accurate driving assistance and safety assurance. Based on this, we address the pain point of frequent traffic accidents, and the article designs an intelligent driving assistance system that integrates neck-based analysis of health indicators such as body temperature, heart rate, blood oxygen, and monitoring of driver behavior status to provide a complete and reliable solution for safe and healthy driving. This paper introduces the design method of the monitoring device, mainly including the design principle, structural composition, and program design.