Table 2.

Comparison results of DBN and FC (fully connected) as a classification module of the MFFN.

Methods	MFFN_FC	MFFN_DBN
subject 1, subject 2	83.94%	86.10%
subject 3, subject 4	63.23%	65.11%
subject 5, subject 9	79.17%	79.37%
subject 6, subject 10	75.00%	77.78%
subject 3, subject 9	62.33%	65.89%
subject 1, subject 4	76.39%	77.39%
subject 7, subject 10	62.69%	62.78%
subject 2, subject 5	83.33%	85.10%
subject 6, subject 7	64.17%	66.56%
subject 7, subject 9	68.28%	68.83%
AVE	71.85%	73.49%

MFFN_FC: multiple feature fusion network proposed in this paper combined with fully connected layer. MFFN_DBN: multiple feature fusion network proposed in this paper combined with deep belief network.