Document Detail

BCI Demographics II: How Many (and What Kinds of) People Can Use a High Frequency SSVEP BCI?
MedLine Citation:
PMID:  21421448     Owner:  NLM     Status:  Publisher    
Brain-computer interface (BCI) systems use brain activity as an input signal and enable communication without movement. This study is a successor of our previous study (BCI demographics I) and examines correlations among BCI performance, personal preferences, and different subject factors such as age or gender for two sets of SSVEP stimuli: one in the medium frequency range (13, 14, 15 and 16 Hz) and another in the high frequency range (34, 36, 38, 40 Hz). High frequency SSVEPs (above 30 Hz) diminish user fatigue and risk of photosensitive epileptic seizures. Results showed that most people, despite having no prior BCI experience, could use the SSVEP based Bremen-BCI system in a very noisy field setting at a fair. Results showed that demographic parameters as well as handedness, tiredness, alcohol and caffeine consumption etc. have no significant effect on the performance of SSVEP based BCI. Most subjects did not consider the flickering stimuli annoying, only 5 out of total 86 participants indicated change in fatigue during the experiment. 84 subjects performed with a mean information transfer rate of 17:246:99 bit/min and an accuracy of 92:26 7:82% with the medium frequency set, whereas only 56 subjects performed with a mean information transfer rate of 12:10 7:31 bit/min and accuracy of 89:16 9:29% with the high frequency set. These and other demographic analyses may help identify the best BCI for each user.
I Volosyak; D Valbuena; T Luth; T Malechka; A Graeser
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2011-3-17
Journal Detail:
Title:  IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society     Volume:  -     ISSN:  1558-0210     ISO Abbreviation:  -     Publication Date:  2011 Mar 
Date Detail:
Created Date:  2011-3-22     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101097023     Medline TA:  IEEE Trans Neural Syst Rehabil Eng     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
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