401 research outputs found
Novel Virtual Moving Sound-based Spatial Auditory Brain-Computer Interface Paradigm
This paper reports on a study in which a novel virtual moving sound-based
spatial auditory brain-computer interface (BCI) paradigm is developed. Classic
auditory BCIs rely on spatially static stimuli, which are often boring and
difficult to perceive when subjects have non-uniform spatial hearing perception
characteristics. The concept of moving sound proposed and tested in the paper
allows for the creation of a P300 oddball paradigm of necessary target and
non-target auditory stimuli, which are more interesting and easier to
distinguish. We present a report of our study of seven healthy subjects, which
proves the concept of moving sound stimuli usability for a novel BCI. We
compare online BCI classification results in static and moving sound paradigms
yielding similar accuracy results. The subject preference reports suggest that
the proposed moving sound protocol is more comfortable and easier to
discriminate with the online BCI.Comment: 4 pages (in conference proceedings original version); 6 figures,
accepted at 6th International IEEE EMBS Conference on Neural Engineering,
November 6-8, 2013, Sheraton San Diego Hotel & Marina, San Diego, CA; paper
ID 465; to be available at IEEE Xplore; IEEE Copyright 201
Head-related Impulse Response Cues for Spatial Auditory Brain-computer Interface
This study provides a comprehensive test of a head-related impulse response
(HRIR) cues for a spatial auditory brain-computer interface (saBCI) speller
paradigm. We present a comparison with the conventional virtual sound
headphone-based spatial auditory modality. We propose and optimize the three
types of sound spatialization settings using a variable elevation in order to
evaluate the HRIR efficacy for the saBCI. Three experienced and seven naive BCI
users participated in the three experimental setups based on ten presented
Japanese syllables. The obtained EEG auditory evoked potentials (AEP) resulted
with encouragingly good and stable P300 responses in online BCI experiments.
Our case study indicated that users could perceive elevation in the saBCI
experiments generated using the HRIR measured from a general head model. The
saBCI accuracy and information transfer rate (ITR) scores have been improved
comparing to the classical horizontal plane-based virtual spatial sound
reproduction modality, as far as the healthy users in the current pilot study
are concerned.Comment: 4 pages, 4 figures, accepted for EMBC 2015, IEEE copyrigh
User-centered design in brain–computer interfaces — a case study
The array of available brain–computer interface (BCI) paradigms has continued to grow, and so has the corresponding set of machine learning methods which are at the core of BCI systems. The latter have evolved to provide more robust data analysis solutions, and as a consequence the proportion of healthy BCI users who can use a BCI successfully is growing. With this development the chances have increased that the needs and abilities of specific patients, the end-users, can be covered by an existing BCI approach. However, most end-users who have experienced the use of a BCI system at all have encountered a single paradigm only. This paradigm is typically the one that is being tested in the study that the end-user happens to be enrolled in, along with other end-users. Though this corresponds to the preferred study arrangement for basic research, it does not ensure that the end-user experiences a working BCI. In this study, a different approach was taken; that of a user-centered design. It is the prevailing process in traditional assistive technology. Given an individual user with a particular clinical profile, several available BCI approaches are tested and – if necessary – adapted to him/her until a suitable BCI system is found
Inter-stimulus Interval Study for the Tactile Point-pressure Brain-computer Interface
The paper presents a study of an inter-stimulus interval (ISI) influence on a
tactile point-pressure stimulus-based brain-computer interface's (tpBCI)
classification accuracy. A novel tactile pressure generating tpBCI stimulator
is also discussed, which is based on a three-by-three pins' matrix prototype.
The six pin-linear patterns are presented to the user's palm during the online
tpBCI experiments in an oddball style paradigm allowing for "the aha-responses"
elucidation, within the event related potential (ERP). A subsequent
classification accuracies' comparison is discussed based on two ISI settings in
an online tpBCI application. A research hypothesis of classification
accuracies' non-significant differences with various ISIs is confirmed based on
the two settings of 120 ms and 300 ms, as well as with various numbers of ERP
response averaging scenarios.Comment: 4 pages, 5 figures, accepted for EMBC 2015, IEEE copyrigh
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