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).

	LDA	QDA	KNN	SVM; ECOC	LC; ECOC	LDA; ECOC	KNN; ECOC	NB	RF	DT	HHMM	HSMM	HHMM; S1	HSMM; S1
	80.28	81.94	79.10	82.43	78.06	82.02	79.19	69.36	79.37	64.86			82.59
	80.16	81.40	78.89		76.92	81.37	79.74	69.81	79.44	63.68			69.95	81.16
VAR	71.77	38.12	78.22		70.22	76.23	78.40	51.91	79.44	64.61			42.08	70.85
SSC	74.80	69.29	73.73				73.99	62.56	73.83	62.70	71.41	75.56	71.41	75.56
ZC	74.75	73.03	72.64			75.42	73.08	60.17	72.34	59.72	74.26		74.26	75.44
	79.20	75.54	76.73	79.50	77.96		76.92	63.06	77.74	64.93	78.39		78.39
Median	77.00	74.29	77.47		76.30	78.30	77.66	62.81	78.59	64.15			72.83	78.36