Output details
11 - Computer Science and Informatics
University of South Wales
Output title
Brain-computer interface speller using hybrid P300 and motor imagery signals
Type
E - Conference contribution
Name of conference/published proceedings
Biomedical Robotics and Biomechatronics (BioRob), 2012 4th IEEE RAS & EMBS International Conference
Volume number
-
Issue number
-
First page of article
224
ISSN of proceedings
-
Year of publication
2012
URL
-
Number of additional authors
-
Additional information
<01> This paper presents a Brain Computer Interface speller which aims at aiding communication for people with severe motor disability such as locked-in stroke patients and Motor-Neuron Disease sufferers. For such users, system slowness has been a major hurdle to adoption. We demonstrate a two-fold increase in speed when compared to the best systems in the literature. The novel elements include the use of fast motor imagery signals, and incorporation of probabilistic text prediction. This Work has generated interest from the Stroke Association and has led to securing a High Performance Computing Wales Research and Innovation grant with Neuradaptix Ltd.
Interdisciplinary
-
Cross-referral requested
-
Research group
2 - Intelligent Systems
Citation count
0
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
