Cheng-Ta Chuang, Tom Chang, Pei-Hung Jau, F. Chang
{"title":"Touchless positioning system using infrared LED sensors","authors":"Cheng-Ta Chuang, Tom Chang, Pei-Hung Jau, F. Chang","doi":"10.1109/ICSSE.2014.6887946","DOIUrl":null,"url":null,"abstract":"This study focuses on touchless positioning sensing devices using infrared (IR) LED and proximity sensor. The signals from a set of proximity sensors are used to determine the position of the hand through the trilateration method. The distances between hand and sensors can be obtained from proximity sensors. The positioning results of hand are verified over mobile devices. The system allows a user intuitively to interact with the mobile device in real time. This design can waive the necessary of touching the touch panel or screen of mobile device. The experimental results show that the system power consumption is less than 30 mW per minute. The standard deviations of the x-axis and y-axis positioning are 0.06cm and 0.024 cm respectively at a fixed reference point. The maximum range of the z-axis is about 4~15cm in typical indoor ambient light.","PeriodicalId":166215,"journal":{"name":"2014 IEEE International Conference on System Science and Engineering (ICSSE)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE International Conference on System Science and Engineering (ICSSE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSSE.2014.6887946","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 12
Abstract
This study focuses on touchless positioning sensing devices using infrared (IR) LED and proximity sensor. The signals from a set of proximity sensors are used to determine the position of the hand through the trilateration method. The distances between hand and sensors can be obtained from proximity sensors. The positioning results of hand are verified over mobile devices. The system allows a user intuitively to interact with the mobile device in real time. This design can waive the necessary of touching the touch panel or screen of mobile device. The experimental results show that the system power consumption is less than 30 mW per minute. The standard deviations of the x-axis and y-axis positioning are 0.06cm and 0.024 cm respectively at a fixed reference point. The maximum range of the z-axis is about 4~15cm in typical indoor ambient light.