{"title":"智能手机上的车祸检测","authors":"Julia Lahn, Heiko Peter, Peter Braun","doi":"10.1145/2790044.2790049","DOIUrl":null,"url":null,"abstract":"In this paper we describe a simple car crash detection algorithm implemented on Android smartphones. The algorithm uses accelerometer sensor and location sensor information which are combined to detect typical patterns of car crash situations. We present technical details of our implementation and first results of an evaluation.","PeriodicalId":351171,"journal":{"name":"Proceedings of the 2nd international Workshop on Sensor-based Activity Recognition and Interaction","volume":"722 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Car crash detection on smartphones\",\"authors\":\"Julia Lahn, Heiko Peter, Peter Braun\",\"doi\":\"10.1145/2790044.2790049\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper we describe a simple car crash detection algorithm implemented on Android smartphones. The algorithm uses accelerometer sensor and location sensor information which are combined to detect typical patterns of car crash situations. We present technical details of our implementation and first results of an evaluation.\",\"PeriodicalId\":351171,\"journal\":{\"name\":\"Proceedings of the 2nd international Workshop on Sensor-based Activity Recognition and Interaction\",\"volume\":\"722 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-06-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2nd international Workshop on Sensor-based Activity Recognition and Interaction\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2790044.2790049\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2nd international Workshop on Sensor-based Activity Recognition and Interaction","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2790044.2790049","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In this paper we describe a simple car crash detection algorithm implemented on Android smartphones. The algorithm uses accelerometer sensor and location sensor information which are combined to detect typical patterns of car crash situations. We present technical details of our implementation and first results of an evaluation.
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