Publications
2020
Chen, Zongmei; Jin, Jing; Daly, Ian; Zuo, Cili; Wang, Xingyu; Cichocki, Andrzej
The Effects of Visual Attention on Tactile P300 BCI Journal Article
In: Computational Intelligence and Neuroscience, 2020.
BibTeX | Tags: BCI, P300, Tactile BCI
@article{Chen2020,
title = {The Effects of Visual Attention on Tactile P300 BCI},
author = {Zongmei Chen and Jing Jin and Ian Daly and Cili Zuo and Xingyu Wang and Andrzej Cichocki},
year = {2020},
date = {2020-02-01},
journal = {Computational Intelligence and Neuroscience},
keywords = {BCI, P300, Tactile BCI},
pubstate = {published},
tppubtype = {article}
}
2012
Wagner, Isabella C.; Daly, Ian; Valjamae, Aleksander
Non-visual and Multisensory BCI Systems: Present and Future Book Chapter
In: Stephen Dunne Brendan Z. Allison, Robert Leeb (Ed.): pp. 375-393, Springer, 2012, ISBN: 978-3-642-29745-8.
Abstract | Links | BibTeX | Tags: BCI, Multi-modal BCI, P300, Speech BCI, Tactile BCI
@inbook{Wagner2012,
title = {Non-visual and Multisensory BCI Systems: Present and Future},
author = {Isabella C. Wagner and Ian Daly and Aleksander Valjamae},
editor = {Brendan Z. Allison, Stephen Dunne, Robert Leeb, José Del R. Millán, Anton Nijholt},
url = {http://link.springer.com/chapter/10.1007%2F978-3-642-29746-5_19},
doi = {10.1007/978-3-642-29746-5_19},
isbn = {978-3-642-29745-8},
year = {2012},
date = {2012-07-07},
pages = {375-393},
publisher = {Springer},
abstract = {During the past decade, brain–computer interfaces (BCIs) have rapidly developed, both in technological and application domains. However, most of these interfaces rely on the visual modality. Only some research groups have been studying non-visual BCIs, primarily based on auditory and, sometimes, on somatosensory signals. These non-visual BCI approaches are especially useful for severely disabled patients with poor vision. From a broader perspective, multisensory BCIs may offer more versatile and user-friendly paradigms for control and feedback. This chapter describes current systems that are used within auditory and somatosensory BCI research. Four categories of noninvasive BCI paradigms are employed: (1) P300 evoked potentials, (2) steady-state evoked potentials, (3) slow cortical potentials, and (4) mental tasks. Comparing visual and non-visual BCIs, we propose and discuss different possible multisensory combinations, as well as their pros and cons. We conclude by discussing potential future research directions of multisensory BCIs and related research questions},
keywords = {BCI, Multi-modal BCI, P300, Speech BCI, Tactile BCI},
pubstate = {published},
tppubtype = {inbook}
}
During the past decade, brain–computer interfaces (BCIs) have rapidly developed, both in technological and application domains. However, most of these interfaces rely on the visual modality. Only some research groups have been studying non-visual BCIs, primarily based on auditory and, sometimes, on somatosensory signals. These non-visual BCI approaches are especially useful for severely disabled patients with poor vision. From a broader perspective, multisensory BCIs may offer more versatile and user-friendly paradigms for control and feedback. This chapter describes current systems that are used within auditory and somatosensory BCI research. Four categories of noninvasive BCI paradigms are employed: (1) P300 evoked potentials, (2) steady-state evoked potentials, (3) slow cortical potentials, and (4) mental tasks. Comparing visual and non-visual BCIs, we propose and discuss different possible multisensory combinations, as well as their pros and cons. We conclude by discussing potential future research directions of multisensory BCIs and related research questions