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An Imu-Based Wearable Ring for On-Surface Handwriting Recognition
Conference paper

An Imu-Based Wearable Ring for On-Surface Handwriting Recognition

Zhe-Ting Liu, Davy P. Y. Wong and Pai H. Chou
2020 International Symposium on VLSI Design, Automation and Test, VLSI-DAT 2020, 9196479
08/2020

Abstract

Computer Networks and Communications Hardware and Architecture Electrical and Electronic Engineering Safety Risk Reliability and Quality
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.

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