为听力和语言障碍人士使用机器学习的涂鸦识别

2019 2nd International Conference on Signal Processing and Communication (ICSPC) Pub Date : 2019-03-01 DOI:10.1109/ICSPC46172.2019.8976846

Evangelyn D Monica, Praharsha Davu, Cynthia P Caroline, D. J. Jagannath

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引用次数: 3

摘要

在本文中，我们测试了机器学习中使用的不同分类器，并比较了从谷歌快速绘制数据集获得的涂鸦的不同准确率。准确率最高的分类器可以被输入到一个针对听力和语言障碍者的应用程序中，通过这个应用程序可以训练它来绘制他们的即时需求，机器学习模型可以将其分类到正确的类别中，这样附近的人就很容易帮助他们。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Doodle Recognition using machine learning for hearing and speech-impaired people

In this paper, we test the different classifiers used in machine learning and compare the different accuracies for the doodles which are obtained from Google's Quick Draw Dataset. The classifier with the best accuracy can be fed into an application for the hearing and speech impaired people through which the can be trained to draw their immediate needs, and the machine learning model could classify it into the correct category, so it would be easy for the people nearby to help them.

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来源期刊

2019 2nd International Conference on Signal Processing and Communication (ICSPC)

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