A Synchronous Motor Imagery Based Neural Physiological Paradigm for Brain Computer Interface Speller
نویسندگان
چکیده
منابع مشابه
A Synchronous Motor Imagery Based Neural Physiological Paradigm for Brain Computer Interface Speller
Brain Computer Interface (BCI) speller is a typical BCI-based application to help paralyzed patients express their thoughts. This paper proposed a novel motor imagery based BCI speller with Oct-o-spell paradigm for word input. Furthermore, an intelligent input method was used for improving the performance of the BCI speller. For the English word spelling experiment, we compared synchronous cont...
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Introduction: Brain Computer Interface (BCI) systems based on Movement Imagination (MI) are widely used in recent decades. Separate feature extraction methods are employed in the MI data sets and classified in Virtual Reality (VR) environments for real-time applications. Methods: This study applied wide variety of features on the recorded data using Linear Discriminant Analysis (LDA) classifie...
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Communication is at the basis of human development and represents a fundamental aspect in the life of every individual. Persons suffering of motor disorders have limited possibilities to communicate and normally require assistive technologies to fulfill this primary need. A promising means to give back basic communication abilities to subjects affected by severe motor impairments are brain-comp...
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BCI is one of the most intriguing technologies among other HCI systems, mostly because of its capability of recording brain activities. Spelling BCIs, which help paralyzed people to maintain communication, are one of the striking topics in the field of BCI. In this scientific a spelling BCI system with high transfer rate and accuracy that uses SSVEP signals is proposed.In addition, we suggested...
متن کاملa study of various feature extraction methods on a motor imagery based brain computer interface system
introduction: brain computer interface (bci) systems based on movement imagination (mi) are widely used in recent decades. separate feature extraction methods are employed in the mi data sets and classified in virtual reality (vr) environments for real-time applications. methods: this study applied wide variety of features on the recorded data using linear discriminant analysis (lda) classifier...
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ژورنال
عنوان ژورنال: Frontiers in Human Neuroscience
سال: 2017
ISSN: 1662-5161
DOI: 10.3389/fnhum.2017.00274