Design of an Intelligent Pen Based on Vector Magnetic Sensing

Keyi Ding

doi:10.54254/2755-2721/91/20241104

Research Article

Open access

Published on 4 September 2024

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Ding,K. (2024).Design of an Intelligent Pen Based on Vector Magnetic Sensing.Applied and Computational Engineering,91,27-32.

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Design of an Intelligent Pen Based on Vector Magnetic Sensing

Keyi Ding *^,1,

¹ School of Electronic Information and Communication, Huazhong University of Science and Technology, Wuhan, Hubei Province, China

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2755-2721/91/20241104

Abstract

In the era of interconnected devices, as the intelligence of equipment deepens, human-computer interaction models are continually evolving. People are no longer satisfied with traditional pen-and-paper methods and seek ways to take notes that can be saved and accessed in the cloud at any time. Among smart writing devices, smart pens are critical components. Most current smart pens utilize infrared cameras to capture high-frequency images, recording the coordinates of strokes as they traverse specific coded points. This positioning method requires special paper and has drawbacks such as high costs and low sensitivity. Addressing the shortcomings of common positioning methods, this paper proposes a magnetic positioning method. By establishing an array of magnetic sensors, it aims to achieve precise tracking of the smart pen's tip. The paper first explores the basic magnetic field theory of permanent magnets and introduces the fundamental theory of magnetic dipoles, followed by a discussion on classical magnetic positioning theory. Additionally, the paper analyzes the sources of error in magnetic sensors. Finally, it describes the use of MATLAB to design an app for the real-time calculation and display of handwriting.

Keywords

magnetic sensor array, magnetic field measurement system, localization algorithm

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Cite this article

Ding,K. (2024).Design of an Intelligent Pen Based on Vector Magnetic Sensing.Applied and Computational Engineering,91,27-32.

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The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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About volume

Volume title: Proceedings of the 2nd International Conference on Functional Materials and Civil Engineering

Conference website: https://www.conffmce.org/

ISBN：978-1-83558-619-8(Print) / 978-1-83558-620-4(Online)

Conference date: 23 August 2024

Editor：Ömer Burak İSTANBULLU

Series: Applied and Computational Engineering

Volume number: Vol.91

ISSN：2755-2721(Print) / 2755-273X(Online)

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