{"title":"基于驾驶员头部运动的红外传感器疲劳驾驶检测","authors":"Dongwook Lee, Seungwon Oh, Seongkook Heo, Minsoo Hahn","doi":"10.1109/ISUC.2008.76","DOIUrl":null,"url":null,"abstract":"In the driving circumstance, the driver¿s condition is directly connected with the car accident. Therefore, there are many researches to decrease the car accidents by keeping the driver¿s state in a good condition. While many of these researches are focused on the driver¿s face, our approach is focused on the driver¿s head movement. By collecting the driver¿s head position and extracting the feature points, the proposed system calculates the driver¿s physical state: Normal driving or Drowsy driving. The experimental results showed 78% of success rate to find the drowsy driving in the real driving situations.","PeriodicalId":339811,"journal":{"name":"2008 Second International Symposium on Universal Communication","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"43","resultStr":"{\"title\":\"Drowsy Driving Detection Based on the Driver's Head Movement using Infrared Sensors\",\"authors\":\"Dongwook Lee, Seungwon Oh, Seongkook Heo, Minsoo Hahn\",\"doi\":\"10.1109/ISUC.2008.76\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the driving circumstance, the driver¿s condition is directly connected with the car accident. Therefore, there are many researches to decrease the car accidents by keeping the driver¿s state in a good condition. While many of these researches are focused on the driver¿s face, our approach is focused on the driver¿s head movement. By collecting the driver¿s head position and extracting the feature points, the proposed system calculates the driver¿s physical state: Normal driving or Drowsy driving. The experimental results showed 78% of success rate to find the drowsy driving in the real driving situations.\",\"PeriodicalId\":339811,\"journal\":{\"name\":\"2008 Second International Symposium on Universal Communication\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-12-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"43\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 Second International Symposium on Universal Communication\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISUC.2008.76\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 Second International Symposium on Universal Communication","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISUC.2008.76","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Drowsy Driving Detection Based on the Driver's Head Movement using Infrared Sensors
In the driving circumstance, the driver¿s condition is directly connected with the car accident. Therefore, there are many researches to decrease the car accidents by keeping the driver¿s state in a good condition. While many of these researches are focused on the driver¿s face, our approach is focused on the driver¿s head movement. By collecting the driver¿s head position and extracting the feature points, the proposed system calculates the driver¿s physical state: Normal driving or Drowsy driving. The experimental results showed 78% of success rate to find the drowsy driving in the real driving situations.