{"title":"面向环境智能环境的多模态上下文感知","authors":"Georgios Galatas, F. Makedon","doi":"10.1145/2451176.2451180","DOIUrl":null,"url":null,"abstract":"Context-awareness constitutes a fundamental attribute of a smart environment. Our research aims at advancing the context-awareness capabilities of ambient intelligence environments by combining multi-modal information from both stationary and moving sensors. The collected data enables us to perform person identification and 3-D localization and recognize activities. In addition, we explore closed-loop feedback by integrating autonomous robots interacting with the users.","PeriodicalId":253850,"journal":{"name":"IUI '13 Companion","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Multi-modal context-awareness for ambient intelligence environments\",\"authors\":\"Georgios Galatas, F. Makedon\",\"doi\":\"10.1145/2451176.2451180\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Context-awareness constitutes a fundamental attribute of a smart environment. Our research aims at advancing the context-awareness capabilities of ambient intelligence environments by combining multi-modal information from both stationary and moving sensors. The collected data enables us to perform person identification and 3-D localization and recognize activities. In addition, we explore closed-loop feedback by integrating autonomous robots interacting with the users.\",\"PeriodicalId\":253850,\"journal\":{\"name\":\"IUI '13 Companion\",\"volume\":\"21 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-03-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IUI '13 Companion\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2451176.2451180\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IUI '13 Companion","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2451176.2451180","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Multi-modal context-awareness for ambient intelligence environments
Context-awareness constitutes a fundamental attribute of a smart environment. Our research aims at advancing the context-awareness capabilities of ambient intelligence environments by combining multi-modal information from both stationary and moving sensors. The collected data enables us to perform person identification and 3-D localization and recognize activities. In addition, we explore closed-loop feedback by integrating autonomous robots interacting with the users.
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