Think and Spell: Context-sensitive Predictive Text for an Ambiguous Keyboard Brain-computer Interface Speller
نویسندگان
چکیده
A T9 ambiguous keyboard algorithm combined with context-sensitive word selection can reduce the decisions required to ‘type’ a word. This approach can benefit spelling brain-computer interfaces which typically have less than 100% accuracy and slow information transfer rates. We report on initial research in applying a modified context aware T9 predictive text algorithm to BCI spelling. To support our approach, we present results from a prototype context-sensitive predictive text system.
منابع مشابه
Predictive Spelling With a P300-Based Brain-Computer Interface: Increasing the Rate of Communication
This study compared a conventional P300 speller brain-computer interface (BCI) to one used in conjunction with a predictive spelling program. Performance differences in accuracy, bit rate, selections per minute, and output characters per minute (OCM) were examined. An 8×9 matrix of letters, numbers, and other keyboard commands was used. Participants (n = 24) were required to correctly complete ...
متن کاملA 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...
متن کاملDevelopment of a Brain Computer Interface (BCI) Speller System Based on SSVEP Signals
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 کاملTowards the detection of error-related potentials and its integration in the context of a P300 speller brain-computer interface
A P300 Speller is a brain–computer interface (BCI) that enables subjects to spell text on a computer screen by detecting P300 Event-Related Potentials in their electroencephalograms (EEG). This BCI application is of particular interest to disabled patients who have lost all means of verbal and motor communication. Error-related Potentials (ErrPs) in the EEG are generated by the subject’s percep...
متن کاملOn the Selection of Time Interval and Frequency Range of EEG Signal Preprocessing for P300 Brain-Computer Interfacing
We consider an EEG-based, wireless braincomputer interface (BCI) with which subjects can “mind spell” text on a computer screen. The application is based on the detection of the P300 event-related potential (ERP). The frequency range for preprocessing the EEG recordings, and the location and length of the time interval after stimulus onset, are selected with respect to the classification accura...
متن کامل