Projected Accuracy Metric for the P300 Speller

被引：10

作者：

Colwell, Kenneth ^{[1
]}

Throckmorton, Chandra ^{[1
]}

Collins, Leslie ^{[1
]}

Morton, Kenneth, Jr. ^{[1
]}

机构：

[1] Duke Univ, Dept Elect & Comp Engn, Durham, NC 27708 USA

来源：

IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING | 2014年 / 22卷 / 05期

基金：

美国国家卫生研究院;

关键词：

Brain-computer interface; performance metrics; P300; speller; BRAIN-COMPUTER-INTERFACE; PERFORMANCE; BCI;

D O I：

10.1109/TNSRE.2014.2324892

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

The P300 Speller brain-computer interface (BCI) is a virtual keyboard that allows users to type without requiring neuromuscular control. P300 Speller research commonly aims to improve the system accuracy, which is typically estimated by spelling a small number of characters and calculating the percent spelled correctly. In this paper we introduce a new method for estimating the long-term ("projected") accuracy, which utilizes all available flash data and a probabilistic model of the Speller system to produce an estimate with lower variance and lower granularity than the standard measure. We apply the new method to 110 previously-collected P300 Speller runs to confirm its consistency, and simulate spelling runs from real subject data to demonstrate lower variance on the accuracy estimate for any given amount of data.

引用

页码：921 / 925

页数：5

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