{"title":"基于速度图分析的驾驶风格识别方法","authors":"A. Ryguła","doi":"10.1109/ICBAKE.2009.51","DOIUrl":null,"url":null,"abstract":"In the paper presented results of analyzing driver’s speed profile treated as a criterion of behavioral biometric. As an input data records registered on tachograph paper disk were used. Driving dynamic features such as speed and acceleration distribution in the specific time intervals were determined and compared. Shown that driving style analysis can be also used for person psycho-physiological state recognition, especially for driver sleepiness and fatigue detection.","PeriodicalId":137627,"journal":{"name":"2009 International Conference on Biometrics and Kansei Engineering","volume":"133 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"26","resultStr":"{\"title\":\"Driving Style Identification Method Based on Speed Graph Analysis\",\"authors\":\"A. Ryguła\",\"doi\":\"10.1109/ICBAKE.2009.51\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the paper presented results of analyzing driver’s speed profile treated as a criterion of behavioral biometric. As an input data records registered on tachograph paper disk were used. Driving dynamic features such as speed and acceleration distribution in the specific time intervals were determined and compared. Shown that driving style analysis can be also used for person psycho-physiological state recognition, especially for driver sleepiness and fatigue detection.\",\"PeriodicalId\":137627,\"journal\":{\"name\":\"2009 International Conference on Biometrics and Kansei Engineering\",\"volume\":\"133 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-06-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"26\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 International Conference on Biometrics and Kansei Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICBAKE.2009.51\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 International Conference on Biometrics and Kansei Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICBAKE.2009.51","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Driving Style Identification Method Based on Speed Graph Analysis
In the paper presented results of analyzing driver’s speed profile treated as a criterion of behavioral biometric. As an input data records registered on tachograph paper disk were used. Driving dynamic features such as speed and acceleration distribution in the specific time intervals were determined and compared. Shown that driving style analysis can be also used for person psycho-physiological state recognition, especially for driver sleepiness and fatigue detection.
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