{"title":"An Imu-Based Wearable Ring For On-Surface Handwriting Recognition","authors":"Zhe-Ting Liu, Davy P. Y. Wong, Pai H. Chou","doi":"10.1109/VLSI-DAT49148.2020.9196479","DOIUrl":null,"url":null,"abstract":"We propose a finger-worn, on-surface fingerwriting recognition system based on an inertial sensor. The acceleration and the angular velocity data from the finger are sent by Bluetooth (BLE) to a host computer for conversion into words. The motion data are segmented by a long short-term memory (LSTM) model before recognition by a Convolutional Neural Network (CNN) or an LSTM model. Experiment results show the proposed system achieves 1.05% CER and 7.28% WER, making it a viable system as a text input interface.","PeriodicalId":235460,"journal":{"name":"2020 International Symposium on VLSI Design, Automation and Test (VLSI-DAT)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Symposium on VLSI Design, Automation and Test (VLSI-DAT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/VLSI-DAT49148.2020.9196479","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
We propose a finger-worn, on-surface fingerwriting recognition system based on an inertial sensor. The acceleration and the angular velocity data from the finger are sent by Bluetooth (BLE) to a host computer for conversion into words. The motion data are segmented by a long short-term memory (LSTM) model before recognition by a Convolutional Neural Network (CNN) or an LSTM model. Experiment results show the proposed system achieves 1.05% CER and 7.28% WER, making it a viable system as a text input interface.