Facial neuromuscular signal classification by means of least square support vector machine for MuCI

Applied Soft Computing Journal

Volumn 30, Issue , 2015, Pages 83-93

  Hamedi, Mahyar ^a   Salleh, Sh Hussain ^a   Noor, Alias Mohd ^a  

^a UNIVERSITI TEKNOLOGI MALAYSIA   (Malaysia)

Author keywords

Classification; Electromyogram; Facial gesture recognition; Facial neuromuscular signal; Least square support vector machine; Muscle computer interface

Indexed keywords

CLASSIFICATION (OF INFORMATION); COST FUNCTIONS; ELECTROMYOGRAPHY; ENCODING (SYMBOLS); GESTURE RECOGNITION; MUSCLE; RADIAL BASIS FUNCTION NETWORKS; TUNING; VECTORS;

CLASSIFICATION ACCURACY; ELECTROMYO GRAMS; GATH-GEVA CLUSTERING; LEAST SQUARE SUPPORT VECTOR MACHINES; OPTIMIZATION TECHNIQUES; RADIAL BASIS FUNCTION(RBF); RELIABLE PERFORMANCE; SIGNAL CLASSIFICATION;

SUPPORT VECTOR MACHINES;

EID: 84922690070     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2015.01.034     Document Type: Article

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