The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec)
Online ISSN : 2424-3124
2022
Session ID : 1A1-O06
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Correction of online handwriting stroke using machine learning
*Tenga YOSHIDAHiroyuki KOBAYASHI
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Abstract

In this paper, the authors aim to correct strokes for input of handwriting diagrams. In order to achieve this correction, they propose a method which is in real-time using machine learning. Experiments with this method have shown that machine learning is also effective in stabilization of handwriting.

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© 2022 The Japan Society of Mechanical Engineers
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