{"title":"基于粗糙集的智能环境活动识别空间理论研究","authors":"H. Guesgen","doi":"10.1109/IE.2015.31","DOIUrl":null,"url":null,"abstract":"This paper investigates how spatial information can be used to improve the process of recognising activities in smart homes. The spatial information is obtained through spatial markers, like motion sensors for instance. Since different markers may be involved in different occurrences of the same type of behaviour, there is a need for being able to express vagueness, which in our approach is achieved by using rough sets rather than standard sets to denote the space in which an activity occurs.","PeriodicalId":228285,"journal":{"name":"2015 International Conference on Intelligent Environments","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Towards a Theory of Space for Activity Recognition in Smart Environments Based on Rough Sets\",\"authors\":\"H. Guesgen\",\"doi\":\"10.1109/IE.2015.31\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper investigates how spatial information can be used to improve the process of recognising activities in smart homes. The spatial information is obtained through spatial markers, like motion sensors for instance. Since different markers may be involved in different occurrences of the same type of behaviour, there is a need for being able to express vagueness, which in our approach is achieved by using rough sets rather than standard sets to denote the space in which an activity occurs.\",\"PeriodicalId\":228285,\"journal\":{\"name\":\"2015 International Conference on Intelligent Environments\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-07-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 International Conference on Intelligent Environments\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IE.2015.31\",\"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 International Conference on Intelligent Environments","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IE.2015.31","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Towards a Theory of Space for Activity Recognition in Smart Environments Based on Rough Sets
This paper investigates how spatial information can be used to improve the process of recognising activities in smart homes. The spatial information is obtained through spatial markers, like motion sensors for instance. Since different markers may be involved in different occurrences of the same type of behaviour, there is a need for being able to express vagueness, which in our approach is achieved by using rough sets rather than standard sets to denote the space in which an activity occurs.
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