{"title":"家庭数据库系统采用物理信息和传感器信息","authors":"Hiroki Sawada, T. Hase, T. Nonaka","doi":"10.1109/ICCE.2015.7066498","DOIUrl":null,"url":null,"abstract":"This paper proposes a management method of personal health conditions by the automatic control of household electrical appliance, using human physical information and information collected from household electrical appliance sensors and a database. Experiments were conducted by creating an experimental system. As a result, it has been proven possible to store physical information in the database and also for household electrical appliances to be automatically controlled by self-estimation of the user's operations, based on the sensor data.","PeriodicalId":169402,"journal":{"name":"2015 IEEE International Conference on Consumer Electronics (ICCE)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Household database system using physical information and sensor information\",\"authors\":\"Hiroki Sawada, T. Hase, T. Nonaka\",\"doi\":\"10.1109/ICCE.2015.7066498\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes a management method of personal health conditions by the automatic control of household electrical appliance, using human physical information and information collected from household electrical appliance sensors and a database. Experiments were conducted by creating an experimental system. As a result, it has been proven possible to store physical information in the database and also for household electrical appliances to be automatically controlled by self-estimation of the user's operations, based on the sensor data.\",\"PeriodicalId\":169402,\"journal\":{\"name\":\"2015 IEEE International Conference on Consumer Electronics (ICCE)\",\"volume\":\"60 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-03-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE International Conference on Consumer Electronics (ICCE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCE.2015.7066498\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE International Conference on Consumer Electronics (ICCE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCE.2015.7066498","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Household database system using physical information and sensor information
This paper proposes a management method of personal health conditions by the automatic control of household electrical appliance, using human physical information and information collected from household electrical appliance sensors and a database. Experiments were conducted by creating an experimental system. As a result, it has been proven possible to store physical information in the database and also for household electrical appliances to be automatically controlled by self-estimation of the user's operations, based on the sensor data.