Chunpeng Jiang, Kunpeng Gao, Nan Zhao, Gencai Shen, Zhongke Mei, Zhenyu Song, Bin Yang, Jingquan Liu
{"title":"A Wearable Braille Recognition System Based on High Density Tactile Sensors","authors":"Chunpeng Jiang, Kunpeng Gao, Nan Zhao, Gencai Shen, Zhongke Mei, Zhenyu Song, Bin Yang, Jingquan Liu","doi":"10.1109/MEMS46641.2020.9056318","DOIUrl":null,"url":null,"abstract":"This paper reports a wearable and wireless system for Braille recognition, called TouchReader, which utilizes a fast and accessible strategy to facilitate visually impaired people in learning and communication. This finger-worn device is composed of flexible and piezoresistive sensor array with high density (96 sensors in 78.5 mm2), high sensitivity (8.44 kPa−1 in low pressure range) and a template-matching recognition system. It is the first time to achieve area-scanning of Braille character on the strength of tactile sensors and convert text to voice message, exhibiting better practicability, portability and reliability in daily routine with less manual intervention.","PeriodicalId":6776,"journal":{"name":"2020 IEEE 33rd International Conference on Micro Electro Mechanical Systems (MEMS)","volume":"44 1","pages":"28-31"},"PeriodicalIF":0.0000,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 33rd International Conference on Micro Electro Mechanical Systems (MEMS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MEMS46641.2020.9056318","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
This paper reports a wearable and wireless system for Braille recognition, called TouchReader, which utilizes a fast and accessible strategy to facilitate visually impaired people in learning and communication. This finger-worn device is composed of flexible and piezoresistive sensor array with high density (96 sensors in 78.5 mm2), high sensitivity (8.44 kPa−1 in low pressure range) and a template-matching recognition system. It is the first time to achieve area-scanning of Braille character on the strength of tactile sensors and convert text to voice message, exhibiting better practicability, portability and reliability in daily routine with less manual intervention.