{"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}
引用次数: 2
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.