This paper presents a brain-computer interface for text entry using steady-state visually
evoked potentials (SSVEP). Like other SSVEP-based spellers, ours identifies the desired …

Most processing methods used in SSVEP-based BCI systems use fixed time windows for
frequency identification. Due to the variable nature of the EEG signal timing, the use of fixed …

This paper presents the implementation of nonlinear canonical correlation analysis
(NLCCA) approach to detect steady-state visual evoked potentials (SSVEP) quickly. The …

Most of the existed methods for steady-state visual evoked potential (SSVEP) recognition
require a specified time window length (TWL) to estimate the dominant frequency …

As Interfaces Cérebro-Máquina (ICMs) têm se mostrado como tecnologias promissoras
atualmente, especialmente para os usuários de cadeira de rodas afetados por lesões ou …

Sequential hypothesis testing is applied in this thesis to make two contributions to the
classification of electroencephalography (EEG) data for use in non-invasive brain computer …

This dissertation presents five contributions to the design of steady-state visual evoked
potential (SSVEP)-based brain-computer interfaces (BCIs). First, a new method—based on …

The understanding of accents relates to a person's language while dialects mostly apply to
the varieties of vocabularies, idioms, grammars and pronunciation of a specific language …