نتایج جستجو برای: p300 speller
تعداد نتایج: 6077 فیلتر نتایج به سال:
This work introduces a novel classifier for a P300-based speller, which, contrary to common methods, can be trained entirely unsupervisedly using an Expectation Maximization approach, eliminating the need for costly dataset collection or tedious calibration sessions. We use publicly available datasets for validation of our method and show that our unsupervised classifier performs competitively ...
OBJECTIVE Brain-computer interface (BCI) technology can provide severely disabled people with non-muscular communication. For those most severely disabled, limitations in eye mobility or visual acuity may necessitate auditory BCI systems. The present study investigates the efficacy of the use of six environmental sounds to operate a 6x6 P300 Speller. METHODS A two-group design was used to asc...
SINGLE-TRIAL P300 CLASSIFICATION USING PCA WITH LDA AND NEURAL NETWORKS A brain-computer interface (BCI) is a device that uses brain signals to provide a nonmuscular communication channel for motor-impaired patients. It is especially targeted at patients with ’locked-in’ syndrome, a condition where the patient is awake and fully aware but cannot communicate with the outside world due to complet...
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