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Word-Fi: Accurate Handwrite System Empowered by Wireless Backscattering and Machine Learning.

Authors :
Ren, Dong
Zhang, Yizhuo
Xiao, Ning
Zhou, Hao
Li, Xiangyang
Qian, Jianwei
Yang, Panlong
Source :
IEEE Network. Jul/Aug2018, Vol. 32 Issue 4, p47-53. 7p.
Publication Year :
2018

Abstract

Word-Fi is a handwriting input system, driven by wireless backscattering technology and machine learning methods. It could effectively mitigate the surrounding noise and extract the weak signals incurred by tiny writing gestures accurately. Leveraging our customized wireless backscattering system, Word-Fi could be noise tolerant across relatively complex environments, especially when multiple persons are presented around, which significantly differs from status quo wireless sensing systems that suffer from multi-user presentation. For weak signal extraction, Word- Fi incorporates an efficient feature selection scheme for classification and improves the classifier by fully exploiting the physical layer information. After using the word suggestion module, it could recognize writing words with fairly high accuracy (above 90 percent) across different volunteers (7-10). [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
08908044
Volume :
32
Issue :
4
Database :
Academic Search Index
Journal :
IEEE Network
Publication Type :
Academic Journal
Accession number :
131092699
Full Text :
https://doi.org/10.1109/MNET.2018.1700441