TABLE III.

Performance of SSVEP classifier per user coding scheme pair. Acc_i denotes the accuracy of the i^th brain symbol, $P_{\widehat{X}|X}(x_i|x_i)$. All ITRs reported in bits/min, see Sec V for ITR detail. Acc_M denotes the average letter decision accuracy across all copy phrase tasks of a particular user and coding scheme. The ‘Sim’ row is not counted in the ‘Mean’ row, see Sec VI-C for detail.

User	E[AccX ]	ITR	ITR*	Acc1	Acc2	Acc3	Acc4	Acc5	Acc6	Sequential Code		Huffman Code		Uniform Code		Max M-Info Code
										AccM	$\frac{\text{queries}}{\text{decision}}$	AccM	$\frac{\text{queries}}{\text{decision}}$	AccM	$\frac{\text{queries}}{\text{decision}}$	AccM	$\frac{\text{queries}}{\text{decision}}$
1	0.88	25	16	0.85	1.00	0.75	0.90	0.95	0.80	0.49	2.0	0.57	2.1	1.00	1.8	1.00	1.5
2	0.82	22	14	0.95	0.85	0.60	0.70	0.85	0.95	0.82	2.0	0.76	1.7	1.00	1.8	1.00	1.9
3	0.94	30	20	0.90	0.95	0.95	0.95	0.95	0.95	0.62	2.0	0.73	1.7	1.00	1.7	0.83	1.9
4	0.91	26	18	0.85	0.95	0.80	0.90	0.95	1.00	0.90	2.0	0.83	1.5	0.95	1.6	0.90	1.5
5	0.75	17	11	0.80	0.65	0.75	0.65	0.85	0.80	0.46	2.0	0.57	1.8	1.00	2.3	1.00	3.2
6	0.66	18	8	0.95	0.90	0.60	0.55	0.65	0.30	0.30	2.0	0.16	1.8	1.00	4.2	1.00	3.2
7	0.88	24	16	0.90	1.00	0.80	0.85	0.85	0.85	0.58	2.0	0.72	1.9	0.89	1.9	1.00	1.6
8	0.90	25	17	0.95	0.95	0.90	0.90	0.95	0.75	0.51	2.0	0.60	1.8	1.00	2.8	0.95	1.9
9	0.89	25	17	0.85	0.85	0.85	0.90	0.95	0.95	0.25	2.0	0.24	1.7	0.95	4.3	0.79	1.8
10	0.91	27	18	1.00	1.00	1.00	0.85	0.85	0.75	0.74	2.0	0.91	1.7	1.00	1.6	0.96	1.5
Mean	0.85	23.8	15.5	0.90	0.91	0.80	0.82	0.88	0.81	0.57	2.0	0.61	1.77	0.98	2.4	0.94	2.0
Sim	0.65	12.6	10.9	0.90	0.80	0.70	0.60	0.50	0.40	0.783	2.00	0.684	1.845	0.984	4.66	0.991	3.59