Optimization of BCI speller based on P300 potential
We report our studies on a Brain Computer Interface (BCI) speller application with an aim to optimize its performance and usability. We study the dependence of the spelling accuracy as a function of (a) the number of visual stimuli (repetitions) presented to the user, (b) the P300 segment length use...
Saved in:
Main Authors: | THULASIDAS, Manoj, GUAN, Cuntai |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2005
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/sis_research/3495 http://doi.org/10.1109/IEMBS.2005.1615702 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
Similar Items
-
High performance P300 speller for brain-computer interface
by: GUAN, Cuntai, et al.
Published: (2004) -
Development of an FPGA-based real-time P300 speller
by: Khurana, K., et al.
Published: (2014) -
Emerging trends in BCI-robotics for motor control and rehabilitation
by: Robinson, Neethu, et al.
Published: (2024) -
Robust classification of event-related potential for brain-computer interface
by: THULASIDAS, Manoj
Published: (2004) -
Aggregating intrinsic information to enhance BCI performance through federated learning
by: Liu, Rui, et al.
Published: (2024)