{"title":"利用智能手机中的3轴加速度计设计并实现了跌倒监测系统","authors":"Ying-Wen Bai, Siao-Cian Wu, Cheng-Lung Tsai","doi":"10.1109/ISCE.2012.6241717","DOIUrl":null,"url":null,"abstract":"In this paper we use the accelerometer of a smart phone to design and implement a fall monitor with mobility detection function for the user. We not only analyze the change of acceleration but also analyze the four typical actions of humans. These are going upstairs, going downstairs, standing up, sitting down, running and jumping. Then we compare the four actions with the characteristics of a fall. These are weightlessness, impact, immobility and overturning of the body. Because the waist is the center of gravity in the human body, our system is used more effectively when we place the smart phone at the waist. Our system is based on an open source system platform and the accelerometer in the smart phone.","PeriodicalId":6297,"journal":{"name":"2012 IEEE 16th International Symposium on Consumer Electronics","volume":"76 1","pages":"1-6"},"PeriodicalIF":0.0000,"publicationDate":"2012-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"24","resultStr":"{\"title\":\"Design and implementation of a fall monitor system by using a 3-axis accelerometer in a smart phone\",\"authors\":\"Ying-Wen Bai, Siao-Cian Wu, Cheng-Lung Tsai\",\"doi\":\"10.1109/ISCE.2012.6241717\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper we use the accelerometer of a smart phone to design and implement a fall monitor with mobility detection function for the user. We not only analyze the change of acceleration but also analyze the four typical actions of humans. These are going upstairs, going downstairs, standing up, sitting down, running and jumping. Then we compare the four actions with the characteristics of a fall. These are weightlessness, impact, immobility and overturning of the body. Because the waist is the center of gravity in the human body, our system is used more effectively when we place the smart phone at the waist. Our system is based on an open source system platform and the accelerometer in the smart phone.\",\"PeriodicalId\":6297,\"journal\":{\"name\":\"2012 IEEE 16th International Symposium on Consumer Electronics\",\"volume\":\"76 1\",\"pages\":\"1-6\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-06-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"24\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 IEEE 16th International Symposium on Consumer Electronics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISCE.2012.6241717\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE 16th International Symposium on Consumer Electronics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCE.2012.6241717","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Design and implementation of a fall monitor system by using a 3-axis accelerometer in a smart phone
In this paper we use the accelerometer of a smart phone to design and implement a fall monitor with mobility detection function for the user. We not only analyze the change of acceleration but also analyze the four typical actions of humans. These are going upstairs, going downstairs, standing up, sitting down, running and jumping. Then we compare the four actions with the characteristics of a fall. These are weightlessness, impact, immobility and overturning of the body. Because the waist is the center of gravity in the human body, our system is used more effectively when we place the smart phone at the waist. Our system is based on an open source system platform and the accelerometer in the smart phone.