{"title":"面向人机通信的传感器信息融合系统","authors":"K. Wan, A. Todo, E. Benoit, H. Sawada","doi":"10.1109/IECON.2007.4460345","DOIUrl":null,"url":null,"abstract":"The purpose of this study is to develop an information fusion system for the application of human-machine communication. The information fusion system bundles and controls sensing units distributed in a space. One sensing unit consists of several sensors, whose data are given to a computer and are transformed into significant information. This information is fed to other sensing units, to be fused with other significant information. All the information are integrated in a main computer to recognize and identify a particular person. The main computer is responsible for managing all the information in a distributed fusion system. For a large and complex system, it may consist of several communities of sensors that are controlled by several main computers to manage the different fusions of the systems. This paper introduces a methodology on how to group a several functions from different sensors that share a same environment for the purpose of recognizing a particular person.","PeriodicalId":199609,"journal":{"name":"IECON 2007 - 33rd Annual Conference of the IEEE Industrial Electronics Society","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"An Information Fusion System of Sensors for Human-machine Communication\",\"authors\":\"K. Wan, A. Todo, E. Benoit, H. Sawada\",\"doi\":\"10.1109/IECON.2007.4460345\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The purpose of this study is to develop an information fusion system for the application of human-machine communication. The information fusion system bundles and controls sensing units distributed in a space. One sensing unit consists of several sensors, whose data are given to a computer and are transformed into significant information. This information is fed to other sensing units, to be fused with other significant information. All the information are integrated in a main computer to recognize and identify a particular person. The main computer is responsible for managing all the information in a distributed fusion system. For a large and complex system, it may consist of several communities of sensors that are controlled by several main computers to manage the different fusions of the systems. This paper introduces a methodology on how to group a several functions from different sensors that share a same environment for the purpose of recognizing a particular person.\",\"PeriodicalId\":199609,\"journal\":{\"name\":\"IECON 2007 - 33rd Annual Conference of the IEEE Industrial Electronics Society\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IECON 2007 - 33rd Annual Conference of the IEEE Industrial Electronics Society\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IECON.2007.4460345\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IECON 2007 - 33rd Annual Conference of the IEEE Industrial Electronics Society","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IECON.2007.4460345","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An Information Fusion System of Sensors for Human-machine Communication
The purpose of this study is to develop an information fusion system for the application of human-machine communication. The information fusion system bundles and controls sensing units distributed in a space. One sensing unit consists of several sensors, whose data are given to a computer and are transformed into significant information. This information is fed to other sensing units, to be fused with other significant information. All the information are integrated in a main computer to recognize and identify a particular person. The main computer is responsible for managing all the information in a distributed fusion system. For a large and complex system, it may consist of several communities of sensors that are controlled by several main computers to manage the different fusions of the systems. This paper introduces a methodology on how to group a several functions from different sensors that share a same environment for the purpose of recognizing a particular person.