Usability of brain–computer interface with visual P300 for severely disabled ALS patients at home

2011 ◽  
Vol 71 ◽  
pp. e98
Author(s):  
Koichi Mori ◽  
Toshinori Maruoka ◽  
Minae Okada ◽  
Kazuyuki Itoh ◽  
Takenobu Inoue
Keyword(s):  
Brain Computer Interface ◽  
Computer Interface ◽  
Als Patients ◽  
Visual P300 ◽  
At Home

scholarly journals Prediction of Auditory and Visual P300 Brain-Computer Interface Aptitude

PLoS ONE ◽  
2013 ◽  
Vol 8 (2) ◽  
pp. e53513 ◽  
Author(s):  
Sebastian Halder ◽  
Eva Maria Hammer ◽  
Sonja Claudia Kleih ◽  
Martin Bogdan ◽  
Wolfgang Rosenstiel ◽  
...  
Keyword(s):  
Brain Computer Interface ◽  
Computer Interface ◽  
Visual P300

scholarly journals The Effect That Auditory Distractions Have on a Visual P300 Speller While Utilizing Low-Cost Off-the-Shelf Equipment

Computers ◽  
2020 ◽  
Vol 9 (3) ◽  
pp. 68
Author(s):  
Patrick Schembri ◽  
Maruisz Pelc ◽  
Jixin Ma
Keyword(s):  
Brain Computer Interface ◽  
Low Cost ◽  
User Preference ◽  
Computer Interface ◽  
Oddball Paradigm ◽  
Active Listening ◽  
P300 Speller ◽  
Non Invasive ◽  
Auditory Distractions ◽  
Visual P300

This paper investigates the effect that selected auditory distractions have on the signal of a visual P300 Speller in terms of accuracy, amplitude, latency, user preference, signal morphology, and overall signal quality. In addition, it ensues the development of a hierarchical taxonomy aimed at categorizing distractions in the P300b domain and the effect thereof. This work is part of a larger electroencephalography based project and is based on the P300 speller brain–computer interface (oddball) paradigm and the xDAWN algorithm, with eight to ten healthy subjects, using a non-invasive brain–computer interface based on low-fidelity electroencephalographic (EEG) equipment. Our results suggest that the accuracy was best for the lab condition (LC) at 100%, followed by music at 90% (M90) at 98%, trailed by music at 30% (M30) and music at 60% (M60) equally at 96%, and shadowed by ambient noise (AN) at 92.5%, passive talking (PT) at 90%, and finally by active listening (AL) at 87.5%. The subjects’ preference prodigiously shows that the preferred condition was LC as originally expected, followed by M90, M60, AN, M30, AL, and PT. Statistical analysis between all independent variables shows that we accept our null hypothesis for both the amplitude and latency. This work includes data and comparisons from our previous papers. These additional results should give some insight into the practicability of the aforementioned P300 speller methodology and equipment to be used for real-world applications.

scholarly journals Effect of Static Posture on Online Performance of P300-Based BCIs for TV Control

Sensors ◽  
2021 ◽  
Vol 21 (7) ◽  
pp. 2278
Author(s):  
Dojin Heo ◽  
Minju Kim ◽  
Jongsu Kim ◽  
Yun-Joo Choi ◽  
Sung-Phil Kim
Keyword(s):  
Brain Computer Interface ◽  
Computer Interface ◽  
Significant Difference ◽  
Overall Performance ◽  
At Home

To implement a practical brain–computer interface (BCI) for daily use, continuing changes in postures while performing daily tasks must be considered in the design of BCIs. To examine whether the performance of a BCI could depend on postures, we compared the online performance of P300-based BCIs built to select TV channels when subjects took sitting, recline, supine, and right lateral recumbent postures during BCI use. Subjects self-reported the degrees of interference, comfort, and familiarity after BCI control in each posture. We found no significant difference in the BCI performance as well as the amplitude and latency of P300 and N200 among the four postures. However, when we compared BCI accuracy outcomes normalized within individuals between two cases where subjects reported relatively more positively or more negatively about using the BCI in a particular posture, we found higher BCI accuracy in those postures for which individual subjects reported more positively. As a result, although the change of postures did not affect the overall performance of P300-based BCIs, the BCI performance varied depending on the degree of postural comfort felt by individual subjects. Our results suggest considering the postural comfort felt by individual BCI users when using a P300-based BCI at home.

A P300-based brain–computer interface aimed at operating electronic devices at home for severely disabled people

2014 ◽  
Vol 52 (10) ◽  
pp. 861-872 ◽  
Author(s):  
Rebeca Corralejo ◽  
Luis F. Nicolás-Alonso ◽  
Daniel Álvarez ◽  
Roberto Hornero
Keyword(s):  
Brain Computer Interface ◽  
Electronic Devices ◽  
Computer Interface ◽  
Disabled People ◽  
At Home

Effects of Spatial Stimulus Overlap in a Visual P300-based Brain-computer Interface

Neuroscience ◽  
2020 ◽  
Vol 431 ◽  
pp. 134-142 ◽  
Author(s):  
Álvaro Fernández-Rodríguez ◽  
María Teresa Medina-Juliá ◽  
Francisco Velasco-Álvarez ◽  
Ricardo Ron-Angevin
Keyword(s):  
Brain Computer Interface ◽  
Computer Interface ◽  
Spatial Stimulus ◽  
Visual P300

scholarly journals Impact of Speller Size on a Visual P300 Brain-Computer Interface (BCI) System under Two Conditions of Constraint for Eye Movement

2019 ◽  
Vol 2019 ◽  
pp. 1-16 ◽  
Author(s):  
R. Ron-Angevin ◽  
L. Garcia ◽  
Á. Fernández-Rodríguez ◽  
J. Saracco ◽  
J. M. André ◽  
...  
Keyword(s):  
Eye Movement ◽  
High Efficiency ◽  
Brain Computer Interface ◽  
Covert Attention ◽  
Computer Interface ◽  
P300 Speller ◽  
High Satisfaction ◽  
High Workload ◽  
The One ◽  
Visual P300

The vast majority of P300-based brain-computer interface (BCI) systems are based on the well-known P300 speller presented by Farwell and Donchin for communication purposes and an alternative to people with neuromuscular disabilities, such as impaired eye movement. The purpose of the present work is to study the effect of speller size on P300-based BCI usability, measured in terms of effectiveness, efficiency, and satisfaction under overt and covert attention conditions. To this end, twelve participants used three speller sizes under both attentional conditions to spell 12 symbols. The results indicated that the speller size had, in both attentional conditions, a significant influence on performance. In both conditions (covert and overt), the best performances were obtained with the small and medium speller sizes, both being the most effective. The speller size did not significantly affect workload on the three speller sizes. In contrast, covert attention condition produced very high workload due to the increased resources expended to complete the task. Regarding users’ preferences, significant differences were obtained between speller sizes. The small speller size was considered as the most complex, the most stressful, the less comfortable, and the most tiring. The medium speller size was always considered in the medium rank, which is the speller size that was evaluated less frequently and, for each dimension, the worst one. In this sense, the medium and the large speller sizes were considered as the most satisfactory. Finally, the medium speller size was the one to which the three standard dimensions were collected: high effectiveness, high efficiency, and high satisfaction. This work demonstrates that the speller size is an important parameter to consider in improving the usability of P300 BCI for communication purposes. The obtained results showed that using the proposed medium speller size, performance and satisfaction could be improved.

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