{"title":"A Real-Time Embedded FPGA Processor for a Stand-Alone Dual-Mode Assistive Device","authors":"A. Jafari, Maysam Ghovanloo, T. Mohsenin","doi":"10.1109/FCCM.2017.55","DOIUrl":null,"url":null,"abstract":"This paper presents a stand-alone Dual-mode Tongue DriveSystem (sdTDS) which is designed for people with severedisabilities to control their environment using their tonguemotion and speech. The sdTDS detects user's tongue motion using a magnetic tracer placed on tongue and an array of magnetic sensors embedded in a wireless headset and at the same time it can capture the user's voice using a small microphone embedded in the same headset. A real-time FPGA-based local processor is proposed which can perform all required signal processing at sensor side, rather than sending all raw data out to a PC or smartphone. The proposed sdTDS significantly reduces the transmitter power consumption and subsequently increases the battery life.","PeriodicalId":124631,"journal":{"name":"2017 IEEE 25th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE 25th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FCCM.2017.55","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
This paper presents a stand-alone Dual-mode Tongue DriveSystem (sdTDS) which is designed for people with severedisabilities to control their environment using their tonguemotion and speech. The sdTDS detects user's tongue motion using a magnetic tracer placed on tongue and an array of magnetic sensors embedded in a wireless headset and at the same time it can capture the user's voice using a small microphone embedded in the same headset. A real-time FPGA-based local processor is proposed which can perform all required signal processing at sensor side, rather than sending all raw data out to a PC or smartphone. The proposed sdTDS significantly reduces the transmitter power consumption and subsequently increases the battery life.