Towards inexpensive BCI control for wheelchair navigation in the enabled environment - A hardware survey

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6334 LNAI, Issue , 2010, Pages 336-345

  Stamps, Kenyon ^a   Hamam, Yskandar ^a,b  

^a TSHWANE UNIVERSITY OF TECHNOLOGY   (South Africa)

^b ESIEE PARIS   (France)

Author keywords

[No Author keywords available]

Indexed keywords

ELECTRIC WHEELCHAIR; NEUROLOGICAL MECHANISM; NON-INVASIVE; PROSTHETIC DEVICES; STEADY STATE VISUAL EVOKED POTENTIALS; WHEELCHAIR NAVIGATION; ELECTRO-ENCEPHALOGRAM (EEG);

COMPUTER CONTROL SYSTEMS; COMPUTER HARDWARE; ELECTROENCEPHALOGRAPHY; INFORMATION SCIENCE; INTERFACES (COMPUTER); OPTICAL SENSORS; SURVEYS; WHEELCHAIRS; HARDWARE;

BRAIN COMPUTER INTERFACE;

EID: 78249266591     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-15314-3_32     Document Type: Conference Paper

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