使用支持向量机的P300本地语言拼写器

2016 IEEE International Conference on Information and Automation for Sustainability (ICIAfS) Pub Date : 2016-12-01 DOI:10.1109/ICIAFS.2016.7946525

J. P. Kulasingham, V. Vibujithan, W. A. R. Kithmini, Y. A. C. Kumara, A. C. De Silva

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引用次数: 2

摘要

P300拼写器是一个脑机接口，可以使用脑电图信号进行通信。P300波是一种事件相关电位，作为对熟悉刺激的反应而发生。这个系统可以用来帮助那些无法通过传统方式沟通的人。在本文中，P300拼写器已被修改，以允许三种语言:英语，僧伽罗语和泰米尔语的通信。使用支持向量机的集合对P300波形进行分类。在我们的数据集上，平均字母分类准确率为83.76%，平均P300分类准确率为90.68%。

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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P300 speller for local languages using Support Vector Machines

The P300 Speller is a Brain Computer Interface that enables communication using the EEG signal. The P300 wave is an Event Related Potential that occurs as a response to a familiar stimulus. This system can be used to aid persons who are unable to communicate via conventional methods. In this paper, the P300 Speller has been modified to allow communication in three languages: English, Sinhala and Tamil. Classification of the P300 waveform was done using an ensemble of Support Vector Machines. A mean letter classification accuracy of 83.76% and a mean P300 classification accuracy of 90.68% was achieved on our dataset.

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2016 IEEE International Conference on Information and Automation for Sustainability (ICIAfS)

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