{"title":"LifeMinder:可穿戴式医疗保健支持系统","authors":"Kazushige Ouchi, Takuji Suzuki, M. Doi","doi":"10.1109/ICDCSW.2002.1030864","DOIUrl":null,"url":null,"abstract":"Introduces a prototype of wearable healthcare support system 'LifeMinder', which consists of a wristwatch-shaped wearable sensor module and a personal digital assistant (PDA). The wearable sensor module, equipped with sensors of accelerometer, pulse meter thermometer galvanic skin reflex (GSR) electrodes and Bluetooth module to communicate with the PDA, monitors the user context: health conditions, movements and behaviors. The system uses this information to guide the user in daily self-care in real time. Diet care and exercise care are especially significant to prevent the \"lifestyle-related disease\". The authors developed algorithms to recognize the user movement from wrist motion and to detect the beginning of a meal from pulse rates and GSR values. The accuracy of both algorithms is about 90%.","PeriodicalId":382808,"journal":{"name":"Proceedings 22nd International Conference on Distributed Computing Systems Workshops","volume":"83 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"77","resultStr":"{\"title\":\"LifeMinder: a wearable healthcare support system using user's context\",\"authors\":\"Kazushige Ouchi, Takuji Suzuki, M. Doi\",\"doi\":\"10.1109/ICDCSW.2002.1030864\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Introduces a prototype of wearable healthcare support system 'LifeMinder', which consists of a wristwatch-shaped wearable sensor module and a personal digital assistant (PDA). The wearable sensor module, equipped with sensors of accelerometer, pulse meter thermometer galvanic skin reflex (GSR) electrodes and Bluetooth module to communicate with the PDA, monitors the user context: health conditions, movements and behaviors. The system uses this information to guide the user in daily self-care in real time. Diet care and exercise care are especially significant to prevent the \\\"lifestyle-related disease\\\". The authors developed algorithms to recognize the user movement from wrist motion and to detect the beginning of a meal from pulse rates and GSR values. The accuracy of both algorithms is about 90%.\",\"PeriodicalId\":382808,\"journal\":{\"name\":\"Proceedings 22nd International Conference on Distributed Computing Systems Workshops\",\"volume\":\"83 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2002-07-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"77\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings 22nd International Conference on Distributed Computing Systems Workshops\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICDCSW.2002.1030864\",\"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 22nd International Conference on Distributed Computing Systems Workshops","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDCSW.2002.1030864","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
LifeMinder: a wearable healthcare support system using user's context
Introduces a prototype of wearable healthcare support system 'LifeMinder', which consists of a wristwatch-shaped wearable sensor module and a personal digital assistant (PDA). The wearable sensor module, equipped with sensors of accelerometer, pulse meter thermometer galvanic skin reflex (GSR) electrodes and Bluetooth module to communicate with the PDA, monitors the user context: health conditions, movements and behaviors. The system uses this information to guide the user in daily self-care in real time. Diet care and exercise care are especially significant to prevent the "lifestyle-related disease". The authors developed algorithms to recognize the user movement from wrist motion and to detect the beginning of a meal from pulse rates and GSR values. The accuracy of both algorithms is about 90%.