Complexity / 2018 / Article / Tab 1

Research Article

Vector Autoregressive Hierarchical Hidden Markov Models for Extracting Finger Movements Using Multichannel Surface EMG Signals

Table 1

Classifier accuracy in % for LDA, QDA, knn (15), SVM ECOC, LC ECOC, LDA ECOC, KNN ECOC, NB, HHMM, HSMM, and HHMM with only one segment per movement and HSMM with one segment per movement. The top ranked classifiers are marked with (top ranked), (second ranked), and (third ranked).

LDAQDAKNNSVM 
ECOC
LC 
ECOC
LDA 
ECOC
KNN 
ECOC
NBRFDTHHMMHSMMHHMM 
S1
HSMM 
S1

80.2881.9479.1082.4378.0682.0279.1969.3679.3764.8682.59
80.1681.4078.8976.9281.3779.7469.8179.4463.6869.9581.16
VAR71.7738.1278.2270.2276.2378.4051.9179.4464.6142.0870.85
SSC74.8069.2973.7373.9962.5673.8362.7071.4175.5671.4175.56
ZC74.7573.0372.6475.4273.0860.1772.3459.7274.2674.2675.44
79.2075.5476.7379.5077.9676.9263.0677.7464.9378.3978.39

Median77.0074.2977.4776.3078.3077.6662.8178.5964.1572.8378.36