Conference paper
DTU BCI speller: An SSVEP-based spelling system with dictionary support
In this paper, a new brain computer interface (BCI) speller, named DTU BCI speller, is introduced. It is based on the steady-state visual evoked potential (SSVEP) and features dictionary support. The system focuses on simplicity and user friendliness by using a single electrode for the signal acquisition and displays stimuli on a liquid crystal display (LCD).
Nine healthy subjects participated in writing full sentences after a five minutes introduction to the system, and obtained an information transfer rate (ITR) of 21.94 ± 15.63 bits/min. The average amount of characters written per minute (CPM) is 4.90 ± 3.84 with a best case of 8.74 CPM. All subjects reported systematically on different user friendliness measures, and the overall results indicated the potentials of the DTU BCI Speller system.
For subjects with high classification accuracies, the introduced dictionary approach greatly reduced the time it took to write full sentences.
Language: | English |
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Publisher: | IEEE |
Year: | 2013 |
Pages: | 2212-2215 |
Proceedings: | 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society |
ISBN: | 1457702150 , 1457702169 , 9781457702150 and 9781457702167 |
ISSN: | 1557170x |
Types: | Conference paper |
DOI: | 10.1109/EMBC.2013.6609975 |
ORCIDs: | Puthusserypady, Sadasivan and Sørensen, Helge Bjarup Dissing |
Accuracy Brightness DTU BCI speller system Dictionaries Electrodes Electroencephalography Harmonic analysis SSVEP-based spelling system Visualization biomedical electrodes brain computer interface brain-computer interfaces characters written per minute dictionaries electrode feature dictionary support human computer interaction information transfer rate liquid crystal display liquid crystal displays medical signal detection medical signal processing signal acquisition spelling aids steady-state visual evoked potential stimuli display time 5 min user friendliness measure visual evoked potentials