{"title":"面向跌倒预防的步态建模","authors":"L. Pélissier, A. Boyer, F. Charpillet","doi":"10.5220/0002680500970108","DOIUrl":null,"url":null,"abstract":"This paper describes a monitoring system prototype dedicated to fall prevention for elderly. Our system designed in collaboration with physicians, aims at assessing the risk that a fall occurs, relying on the signature of the walk. The signature is defined as a set of relevant characteristics, computed from the observation through a video camera of the behavior at home of the elderly and can be viewed as a self reference for the telecared person. We model the deviation of this signature to determine an increase of the fall risk.","PeriodicalId":319584,"journal":{"name":"Tele-Care and Collaborative Virtual Communities in Elderly Care","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Towards gait modeling for fall prevention\",\"authors\":\"L. Pélissier, A. Boyer, F. Charpillet\",\"doi\":\"10.5220/0002680500970108\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper describes a monitoring system prototype dedicated to fall prevention for elderly. Our system designed in collaboration with physicians, aims at assessing the risk that a fall occurs, relying on the signature of the walk. The signature is defined as a set of relevant characteristics, computed from the observation through a video camera of the behavior at home of the elderly and can be viewed as a self reference for the telecared person. We model the deviation of this signature to determine an increase of the fall risk.\",\"PeriodicalId\":319584,\"journal\":{\"name\":\"Tele-Care and Collaborative Virtual Communities in Elderly Care\",\"volume\":\"22 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Tele-Care and Collaborative Virtual Communities in Elderly Care\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5220/0002680500970108\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Tele-Care and Collaborative Virtual Communities in Elderly Care","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5220/0002680500970108","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper describes a monitoring system prototype dedicated to fall prevention for elderly. Our system designed in collaboration with physicians, aims at assessing the risk that a fall occurs, relying on the signature of the walk. The signature is defined as a set of relevant characteristics, computed from the observation through a video camera of the behavior at home of the elderly and can be viewed as a self reference for the telecared person. We model the deviation of this signature to determine an increase of the fall risk.
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