Evaluating the effectiveness of time-domain features for motor imagery movements using SVM

2012 International Conference on Computer and Communication Engineering, ICCCE 2012

Volumn , Issue , 2012, Pages 909-913

  Khorshidtalab, A ^a   Salami, M J E ^a   Hamedi, M ^b  

^a INTERNATIONAL ISLAMIC UNIVERSITY MALAYSIA   (Malaysia)

^b UNIVERSITI TEKNOLOGI MALAYSIA   (Malaysia)

Author keywords

Brain machine Interface; Electroencephalogram; Feature extraction; Motor imagery; Support Vector Machine

Indexed keywords

ABSOLUTE VALUES; BIOSIGNALS; BRAIN MACHINE INTERFACE; BRAIN WAVE; CHAOTIC BEHAVIORS; CLASSIFICATION ACCURACY; CLASSIFICATION OF MOTOR IMAGERY TASK; EEG SIGNALS; ELECTROENCEPHALOGRAM SIGNALS; MOTOR IMAGERY; MOTOR IMAGERY TASKS; PEAK VALUES; POLYNOMIAL KERNELS; RANDOM NOISE; TIME DOMAIN; TIME-DOMAIN ALGORITHM; WAVE FORMS;

COMMUNICATION; ELECTROENCEPHALOGRAPHY; FEATURE EXTRACTION;

SUPPORT VECTOR MACHINES;

EID: 84867280160     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCCE.2012.6271348     Document Type: Conference Paper

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