{"title":"A wearable sensor fusion armband for simple motion control and selection for disabled and non-disabled users","authors":"J. Cannan, Huosheng Hu","doi":"10.1109/CEEC.2012.6375408","DOIUrl":null,"url":null,"abstract":"This paper presents the GE-Fusion Band, a wearable prototype armband that incorporates Gyro and EMG sensor fusion for interfacing with technology. The armband enables any user with some level of yaw and pitch arm movement, and arm muscle voluntary contraction, to potentially control an electrical device like a computer, robotic arm, or mobile phone. Simple Gyro data calculates pitch and yaw, while EMG threshold based techniques were used for a virtual enter button. Only light weight signal processing was required to achieve acceptable results, reducing the required processing time on the microcontroller and receiving device, thereby allowing the GE-Fusion Band to be interfaced with almost any device. The device aims to make interaction more intuitive for disabled users while providing an alternative interface for non-disabled users.","PeriodicalId":142286,"journal":{"name":"2012 4th Computer Science and Electronic Engineering Conference (CEEC)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 4th Computer Science and Electronic Engineering Conference (CEEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CEEC.2012.6375408","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8
Abstract
This paper presents the GE-Fusion Band, a wearable prototype armband that incorporates Gyro and EMG sensor fusion for interfacing with technology. The armband enables any user with some level of yaw and pitch arm movement, and arm muscle voluntary contraction, to potentially control an electrical device like a computer, robotic arm, or mobile phone. Simple Gyro data calculates pitch and yaw, while EMG threshold based techniques were used for a virtual enter button. Only light weight signal processing was required to achieve acceptable results, reducing the required processing time on the microcontroller and receiving device, thereby allowing the GE-Fusion Band to be interfaced with almost any device. The device aims to make interaction more intuitive for disabled users while providing an alternative interface for non-disabled users.