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

Wang, Mengxia
http://rave.ohiolink.edu/etdc/view?acc_num=ucin1342464270

Abstract Details

2012, MS, University of Cincinnati, Engineering and Applied Science: Computer Science.
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.
Anca Ralescu, PhD (Committee Chair)
J. Adam Wilson, PhD (Committee Member)
Chia Han, PhD (Committee Member)
Dan Ralescu, PhD (Committee Member)
85 p.
Computer Science
Brain-computer interface; P300 speller; Prediction by partial matching language model;

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Citations

  • Wang, M. (2012). Design of a Modified P300 Speller System Based on Prediction by Partial Matching Language Model [Master's thesis, University of Cincinnati]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1342464270

    APA Style (7th edition)

  • Wang, Mengxia. Design of a Modified P300 Speller System Based on Prediction by Partial Matching Language Model. 2012. University of Cincinnati, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=ucin1342464270.

    MLA Style (8th edition)

  • Wang, Mengxia. "Design of a Modified P300 Speller System Based on Prediction by Partial Matching Language Model." Master's thesis, University of Cincinnati, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1342464270

    Chicago Manual of Style (17th edition)

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© 2012, all rights reserved.
This open access ETD is published by University of Cincinnati and OhioLINK.