DocumentCode :
2026224
Title :
A novel P300-based BCI system for words typing
Author :
Akram, Farhan ; Metwally, Mohamed K. ; Hee-Sok Han ; Hyun-Jae Jeon ; Tae-Seong Kim
Author_Institution :
Dept. of Biomed. Eng., Kyung Hee Univ., Yongin, South Korea
fYear :
2013
fDate :
18-20 Feb. 2013
Firstpage :
24
Lastpage :
25
Abstract :
The conventional P300 BCI system for character spelling is typically composed of a paradigm that displays flashing characters and a classifier which identifies target characters. Typically a user has to type each character of a word at a time: this spelling process is slow and it can take several minutes to type an entire word. In this work, we propose a new word typing scheme by integrating a word suggestion mechanism via a dictionary search into the conventional P300-based speller. Our new P300-based word typing system consists of an initial character spelling paradigm, a smart dictionary unit to give suggestions of possible words, and the final word selection paradigm to select a word out of the suggestions. Our proposed methodology reduces typing time significantly and makes word typing more convenient. We have tested our system with four subjects and our results demonstrate an average words typing time of 1.66 minute, whereas the conventional took 2.9 minute for the same words.
Keywords :
brain-computer interfaces; electroencephalography; medical signal processing; signal classification; BCI classifier; EEG signals; P300-based BCI system; brain-computer interface; character spelling process; dictionary search; electroencephalography; final word selection paradigm; initial character spelling paradigm; smart dictionary unit; word suggestion mechanism; word typing scheme; Accuracy; Brain-computer interfaces; Conferences; Dictionaries; Electroencephalography; Support vector machines; Visualization; BCI; P300 speller; dictionary; word typing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Brain-Computer Interface (BCI), 2013 International Winter Workshop on
Conference_Location :
Gangwo
Print_ISBN :
978-1-4673-5973-3
Type :
conf
DOI :
10.1109/IWW-BCI.2013.6506617
Filename :
6506617
Link To Document :
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