OBJECTIVE The P300 speller is a brain-computer interface (BCI) that can possibly restore communication abilities to individuals with severe neuromuscular disabilities, such as amyotrophic lateral sclerosis (ALS), by exploiting elicited brain signals in electroencephalography (EEG) data. However, accurate spelling with BCIs is slow due to the need to average data over multiple trials to increase...

Many people affected by debilitating neuromuscular disorders such as amyotrophic lateral sclerosis (ALS), brainstem stroke, or spinal cord injury are impaired in their ability to communicate. Conventional assistive devices (e.g., letter boards, cheek or tongue switches, or eye trackers) that aim to restore communication all require muscular control, which is often lost in the progress of neurom...

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...

INTERVENTIONS BASED ON DIGITAL TECHNOLOGY William Farr, Ian Male, Dido Green, Christopher Morris, Heather Gage, Sarah Bailey, Sandra Speller, Val Colville, Mandy Jackson, Stephen Bremner, Anjum Memon Sussex Community NHS Trust; Oxford Brookes University; University of Exeter Medical School; Parent partnership advisors, Sussex Community NHS Trust; University of Surrey; Brighton and Sussex Medica...

Audiovisual Spatial Speller BCI Paradigms M. Chang, N. Nishikawa, Z.R. Struzik, K. Mori, S. Makino, D. Mandic, and T.M. Rutkowski Life Science Center of TARA, University of Tsukuba, Japan; RIKEN Brain Science Institute, Wako-shi, Japan; The University of Tokyo, Tokyo, Japan; Research Institute of National Rehabilitation Center for Persons with Disabilities, Tokorozawa, Japan; Imperial College L...

We consider a P300 BCI application where the subjects can write figures and letters in an unsupervised fashion. We (i) show that a generic speller can attain the state-of-the-art accuracy without any training phase or calibration and (ii) present an adaptive setup that consistently increases the bit rate for most of the subjects.

The lack of label data is one the significant bottlenecks for Chinese Spelling Check. Existing researches use automatic generation method by exploiting unlabeled to expand supervised corpus. However, there a big gap between real input scenario and automatically generated Thus, we develop competitive general speller ECSpell, which adopts Error-consistent masking strategy create pretraining. This...

Brain-Computer Interfaces (BCI ’s) enable us to infer intentional control signals from brain activity. The Visual Speller is a BCI based on event related potentials (ERP ’s) in the electroencephalogram, such as the P300 (a positive deflection in the EEG about 300 ms after a rarely occuring stimulus). In the classical paradigm one trial (i.e. prediction of one symbol) consists of successive high...