实时事故检测与生理信号监测以提升摩托车安全性和应急响应能力
Real-time accident detection and physiological signal monitoring to enhance motorbike safety and emergency response
AI总结：
本文提出一种集成在头盔中的摩托车事故自动检测与通知系统，结合加速度计、GPS、GSM、Wi-Fi及脉搏和SpO₂生理监测，在检测到异常时自动向紧急联系人发送位置和生理信息，以缩短救援时间并降低死亡风险。
摘要：
快速的城市化和生活水平的提高导致道路上车辆数量大幅增加，从而造成事故频率上升。在这些事故中，摩托车事故风险尤其高，往往导致严重伤害或死亡。其中相当数量的死亡是由于医疗救助延迟或不充分造成的。为此，我们提出了一种专为摩托车事故设计的新型自动检测与通知系统。该系统由两个关键部分组成：检测系统和生理信号监测系统。检测系统集成在头盔中，由微控制器、加速度计、GPS、GSM和Wi-Fi模块组成。生理监测系统包含一个用于监测脉搏率和SpO$_{2}$饱和度的传感器。所有采集到的数据都显示在LCD显示屏上，并通过生理信号监测系统的微控制器无线传输到检测系统。如果加速度计读数持续偏离通过大量实验确定的指定阈值，系统就会将该事件识别为事故，并将受害者的信息——包括GPS位置、脉搏率和SpO$_{2}$饱和度——发送给指定的紧急联系人。初步结果表明，该系统在准确检测摩托车事故并及时通知紧急联系人方面具有有效性。我们坚信，该系统有潜力显著降低与摩托车事故相关的风险并挽救生命。
英文摘要：
Rapid urbanization and improved living standards have led to a substantial increase in the number of vehicles on the road, consequently resulting in a rise in the frequency of accidents. Among these accidents, motorbike accidents pose a particularly high risk, often resulting in serious injuries or deaths. A significant number of these fatalities occur due to delayed or inadequate medical attention. To this end, we propose a novel automatic detection and notification system specifically designed for motorbike accidents. The proposed system comprises two key components: a detection system and a physiological signal monitoring system. The detection system is integrated into the helmet and consists of a microcontroller, accelerometer, GPS, GSM, and Wi-Fi modules. The physio-monitoring system incorporates a sensor for monitoring pulse rate and SpO$_{2}$ saturation. All collected data are presented on an LCD display and wirelessly transmitted to the detection system through the microcontroller of the physiological signal monitoring system. If the accelerometer readings consistently deviate from the specified threshold decided through extensive experimentation, the system identifies the event as an accident and transmits the victim's information -- including the GPS location, pulse rate, and SpO$_{2}$ saturation rate -- to the designated emergency contacts. Preliminary results demonstrate the efficacy of the proposed system in accurately detecting motorbike accidents and promptly alerting emergency contacts. We firmly believe that the proposed system has the potential to significantly mitigate the risks associated with motorbike accidents and save lives.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
