Ejjada Manoj Kumar, Abdul Zahoor, Ch. Sri Lakshmi Sruthi, Kandala Vaishnavi, V. R. Chowdary
{"title":"Smart Wearable Device to Prevent Accidents Caused by Medical Emergencies","authors":"Ejjada Manoj Kumar, Abdul Zahoor, Ch. Sri Lakshmi Sruthi, Kandala Vaishnavi, V. R. Chowdary","doi":"10.1109/ICCMC56507.2023.10084266","DOIUrl":null,"url":null,"abstract":"The rate of accidents due to the sudden medical emergency of the driver is increasing day-by-day. These accidents not only cost the lives of people but also result in huge damage to the property. Even though many laws relieve the driver from liability since the accident is unintended, preventing these accidents or determining whether these accidents are caused due to medical emergencies has been a difficult task. Epilepsy which is the sudden breakdown of central nervous system has been the major cause to these types of accidents. A smart wearable, which is interfaced to the vehicle accumulated with Arduino Nano, that continuously monitors the heart rate, SPO2 levels, and Temperature and is capable of detecting epilepsy has been proposed as the solution. When the smart wearable device detects an abnormal condition, it immediately transmits the signal to the Arduino UNO which operates the relay to stop the vehicle thus preventing the accident. It also sends the user's current location through Global System for Mobile Communication (GSM) so that the life of driver can be saved.","PeriodicalId":197059,"journal":{"name":"2023 7th International Conference on Computing Methodologies and Communication (ICCMC)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 7th International Conference on Computing Methodologies and Communication (ICCMC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCMC56507.2023.10084266","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
The rate of accidents due to the sudden medical emergency of the driver is increasing day-by-day. These accidents not only cost the lives of people but also result in huge damage to the property. Even though many laws relieve the driver from liability since the accident is unintended, preventing these accidents or determining whether these accidents are caused due to medical emergencies has been a difficult task. Epilepsy which is the sudden breakdown of central nervous system has been the major cause to these types of accidents. A smart wearable, which is interfaced to the vehicle accumulated with Arduino Nano, that continuously monitors the heart rate, SPO2 levels, and Temperature and is capable of detecting epilepsy has been proposed as the solution. When the smart wearable device detects an abnormal condition, it immediately transmits the signal to the Arduino UNO which operates the relay to stop the vehicle thus preventing the accident. It also sends the user's current location through Global System for Mobile Communication (GSM) so that the life of driver can be saved.