Electrooculogram based system for computer control using a multiple feature classification model

Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

Volumn , Issue , 2006, Pages 1295-1298

  Kherlopian, Armen R ^a   Gerrein, Joseph P ^b   Yue, Minerva ^a   Kim, Kristina E ^a   Kim, Ji Won ^c   Sukumaran, Madhav ^d   Sajda, Paul ^a  

^a Columbia University ^*  (United States)

^b UNIVERSITY OF CALIFORNIA SAN DIEGO   (United States)

^c NEW YORK MEDICAL COLLEGE   (United States)

^d Och Spine at New York Presbyterian Hospitals   (United States)

Author keywords

ALS; Amyotrophic lateral sclerosis; Computer control; Electrooculography; Eye movement analysis; Hands free speller; Lou Gehrig's disease; Sensorimotor and neuromuscular systems

Indexed keywords

COMPUTER CONTROL; DISEASES; EYE MOVEMENTS; FEATURE EXTRACTION; SPEECH RECOGNITION; VISUAL COMMUNICATION;

AMYOTROPHIC LATERAL SCLEROSIS (ALS); ELECTROOCULOGRAPHY; EYE MOVEMENT ANALYSIS; HANDS FREE SPELLER; LOU GEHRIG'S DISEASE; NEUROMUSCULAR SYSTEMS;

BIOMEDICAL EQUIPMENT;

ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER INTERFACE; ELECTROOCULOGRAPHY; EVALUATION STUDY; EYE MOVEMENT; HUMAN; MAN MACHINE INTERACTION; METHODOLOGY; PHYSIOLOGY; TASK PERFORMANCE;

ARTIFICIAL INTELLIGENCE; ELECTROOCULOGRAPHY; EYE MOVEMENTS; HUMANS; MAN-MACHINE SYSTEMS; PATTERN RECOGNITION, AUTOMATED; TASK PERFORMANCE AND ANALYSIS; USER-COMPUTER INTERFACE;

EID: 34047128733     PISSN: 05891019     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2006.260851     Document Type: Conference Paper

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