Hanny Boedinoegroho, Adrian Kusuma Rahardjo, A. Kurniawan, I. Purnama
{"title":"基于红外超宽带和光学传感器驱动的疲劳检测装置的研制","authors":"Hanny Boedinoegroho, Adrian Kusuma Rahardjo, A. Kurniawan, I. Purnama","doi":"10.1109/CENIM48368.2019.8973332","DOIUrl":null,"url":null,"abstract":"Fatigue is one of the biggest causes of accidents when driving. Therefore, in this research we developed a fatigue detection device for the driver. This device consists of an Impulse Radio-Ultra Wideband (IR-UWB) sensor that serves to detect breathing (respiratory) waves and an Optics Sensor or photoplethysmograph (PPG) sensor that functions to detect the driver’s heartbeat. The results of respiratory wave detection and heart rate will be processed using a single board computer and displayed on the monitor. Initial storage will be carried out on local storage then will proceed to cloud storage. The use of cloud storage will make data storage easier, making it easier to monitor online. The drivers data retrieval process takes place during the day and uses a private car under normal road conditions. The results of data retrieval and testing of the device will give a warning to the driver. The warning occurs if the heart rate is less than 60 beats per minute (bpm) and the is is less than 12 breaths per minute. The accuracy of each sensor in the data collection process are 98% for optical sensors and 88% to 94% for IR-UWB sensors.","PeriodicalId":106778,"journal":{"name":"2019 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Development of Fatigue Detection Device Based On IR-UWB and Optic Sensor to Driver\",\"authors\":\"Hanny Boedinoegroho, Adrian Kusuma Rahardjo, A. Kurniawan, I. Purnama\",\"doi\":\"10.1109/CENIM48368.2019.8973332\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Fatigue is one of the biggest causes of accidents when driving. Therefore, in this research we developed a fatigue detection device for the driver. This device consists of an Impulse Radio-Ultra Wideband (IR-UWB) sensor that serves to detect breathing (respiratory) waves and an Optics Sensor or photoplethysmograph (PPG) sensor that functions to detect the driver’s heartbeat. The results of respiratory wave detection and heart rate will be processed using a single board computer and displayed on the monitor. Initial storage will be carried out on local storage then will proceed to cloud storage. The use of cloud storage will make data storage easier, making it easier to monitor online. The drivers data retrieval process takes place during the day and uses a private car under normal road conditions. The results of data retrieval and testing of the device will give a warning to the driver. The warning occurs if the heart rate is less than 60 beats per minute (bpm) and the is is less than 12 breaths per minute. The accuracy of each sensor in the data collection process are 98% for optical sensors and 88% to 94% for IR-UWB sensors.\",\"PeriodicalId\":106778,\"journal\":{\"name\":\"2019 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM)\",\"volume\":\"36 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CENIM48368.2019.8973332\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CENIM48368.2019.8973332","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Development of Fatigue Detection Device Based On IR-UWB and Optic Sensor to Driver
Fatigue is one of the biggest causes of accidents when driving. Therefore, in this research we developed a fatigue detection device for the driver. This device consists of an Impulse Radio-Ultra Wideband (IR-UWB) sensor that serves to detect breathing (respiratory) waves and an Optics Sensor or photoplethysmograph (PPG) sensor that functions to detect the driver’s heartbeat. The results of respiratory wave detection and heart rate will be processed using a single board computer and displayed on the monitor. Initial storage will be carried out on local storage then will proceed to cloud storage. The use of cloud storage will make data storage easier, making it easier to monitor online. The drivers data retrieval process takes place during the day and uses a private car under normal road conditions. The results of data retrieval and testing of the device will give a warning to the driver. The warning occurs if the heart rate is less than 60 beats per minute (bpm) and the is is less than 12 breaths per minute. The accuracy of each sensor in the data collection process are 98% for optical sensors and 88% to 94% for IR-UWB sensors.