Design of a Modified P300 Speller System Based on Prediction by Partial Matching Language Model

Bibliographic Details
Main Author:	Wang, Mengxia
Language:	English
Published:	University of Cincinnati / OhioLINK 2012
Subjects:	Computer Science Brain-computer interface P300 speller Prediction by partial matching language model
Online Access:	http://rave.ohiolink.edu/etdc/view?acc_num=ucin1342464270

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spelling	ndltd-OhioLink-oai-etd.ohiolink.edu-ucin13424642702021-08-03T06:15:48Z Design of a Modified P300 Speller System Based on Prediction by Partial Matching Language Model Wang, Mengxia Computer Science Brain-computer interface P300 speller Prediction by partial matching language model In recent decades, the field of Brain-Computer Interface (BCI) technologies has been vigorously developed by research groups from all over the world. A BCI system can build a directly pathway between the brain and an external device so that patients with impaired motor activities can be assisted with this system to realize the communication with others. Among varieties of BCI systems, P300 speller is one that has been successfully developed with several advantages such as easy to carry on the experiment and the achievement of relatively better accuracy rate. In this thesis a system is designed to improve the current P300 speller performance based on a language prediction model. The method is implemented with MATLAB simulations in the evaluation of both system accuracy and speedup. The result of the conducted experiments shows the feasibility of our proposed system. 2012-10-15 English text University of Cincinnati / OhioLINK http://rave.ohiolink.edu/etdc/view?acc_num=ucin1342464270 http://rave.ohiolink.edu/etdc/view?acc_num=ucin1342464270 unrestricted This thesis or dissertation is protected by copyright: all rights reserved. It may not be copied or redistributed beyond the terms of applicable copyright laws.
collection	NDLTD
language	English
sources	NDLTD
topic	Computer Science Brain-computer interface P300 speller Prediction by partial matching language model
spellingShingle	Computer Science Brain-computer interface P300 speller Prediction by partial matching language model Wang, Mengxia Design of a Modified P300 Speller System Based on Prediction by Partial Matching Language Model
author	Wang, Mengxia
author_facet	Wang, Mengxia
author_sort	Wang, Mengxia
title	Design of a Modified P300 Speller System Based on Prediction by Partial Matching Language Model
title_short	Design of a Modified P300 Speller System Based on Prediction by Partial Matching Language Model
title_full	Design of a Modified P300 Speller System Based on Prediction by Partial Matching Language Model
title_fullStr	Design of a Modified P300 Speller System Based on Prediction by Partial Matching Language Model
title_full_unstemmed	Design of a Modified P300 Speller System Based on Prediction by Partial Matching Language Model
title_sort	design of a modified p300 speller system based on prediction by partial matching language model
publisher	University of Cincinnati / OhioLINK
publishDate	2012
url	http://rave.ohiolink.edu/etdc/view?acc_num=ucin1342464270
work_keys_str_mv	AT wangmengxia designofamodifiedp300spellersystembasedonpredictionbypartialmatchinglanguagemodel
_version_	1719433648896212992

Design of a Modified P300 Speller System Based on Prediction by Partial Matching Language Model

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