Table A1.

Experimental results.

Exp.	Parameter	Value	KappaTrain	KappaValidation
1	Ntrainingsubjects	3	0.962 ± 0.002	0.637 ± 0.019
		5	0.948 ± 0.017	0.675 ± 0.002
		10	0.919 ± 0.009	0.688 ± 0.022
		15	0.836 ± 0.112	0.650 ± 0.115
		19*	0.885 ± 0.003	0.727 ± 0.005
2	Ntrainingwindows	8	0.777 ± 0.042	0.662 ± 0.071
		16	0.830 ± 0.007	0.711 ± 0.004
		32	0.846 ± 0.012	0.715 ± 0.012
		64	0.870 ± 0.007	0.721 ± 0.011
		128*	0.885 ± 0.003	0.727 ± 0.005
		256	0.857 ± 0.040	0.724 ± 0.001
		512	0.892 ± 0.009	0.724 ± 0.006
3	Shift augmentation	off	0.863 ± 0.142	0.609 ± 0.096
		on*	0.885 ± 0.003	0.727 ± 0.005
4	λCONV, L1	0*	0.885 ± 0.003	0.727 ± 0.005
		0.001	0.854 ± 0.011	0.717 ± 0.005
		0.01	0.829 ± 0.010	0.686 ± 0.023
		0.1	0.667 ± 0.085	0.559 ± 0.023
5	λCONV, L2	0*	0.885 ± 0.003	0.727 ± 0.005
		0.001	0.862 ± 0.015	0.726 ± 0.000
		0.01	0.864 ± 0.003	0.717 ± 0.004
		0.1	0.772 ± 0.107	0.640 ± 0.085
6	λLSTM, L1	0*	0.885 ± 0.003	0.727 ± 0.005
		0.001	0.773 ± 0.008	0.729 ± 0.008
		0.01	0.678 ± 0.063	0.639 ± 0.101
		0.1	0.000 ± 0.000	0.000 ± 0.000
7	λLSTM, L2	0*	0.885 ± 0.003	0.727 ± 0.005
		0.001	0.829 ± 0.006	0.730 ± 0.011
		0.01	0.770 ± 0.008	0.723 ± 0.007
		0.1	0.703 ± 0.001	0.664 ± 0.010
8	pdropout	0*	0.885 ± 0.003	0.727 ± 0.005
		0.1	0.875 ± 0.014	0.730 ± 0.015
		0.3	0.863 ± 0.004	0.741 ± 0.008
		0.5	0.844 ± 0.009	0.742 ± 0.005
		0.7	0.735 ± 0.109	0.679 ± 0.102
		0.9	0.284 ± 0.277	0.246 ± 0.242
9	prec.dropout	0*	0.885 ± 0.003	0.727 ± 0.005
		0.1	0.876 ± 0.005	0.729 ± 0.011
		0.3	0.866 ± 0.003	0.733 ± 0.012
		0.5	0.857 ± 0.002	0.740 ± 0.011
		0.7	0.852 ± 0.007	0.738 ± 0.017
		0.9	0.795 ± 0.057	0.733 ± 0.018
10	Conv. activation	leaky-relu	0.812 ± 0.129	0.660 ± 0.106
		relu*	0.885 ± 0.003	0.727 ± 0.005
11	Rec. type	GRU	0.890 ± 0.007	0.726 ± 0.009
		LSTM*	0.885 ± 0.003	0.727 ± 0.005
12	NCONVlayers	0	0.382 ± 0.067	0.344 ± 0.089
		1	0.752 ± 0.122	0.630 ± 0.078
		2	0.860 ± 0.014	0.722 ± 0.011
		3*	0.885 ± 0.003	0.727 ± 0.005
13	NLSTMlayers	1	0.879 ± 0.005	0.718 ± 0.008
		2*	0.885 ± 0.003	0.727 ± 0.005
		4	0.855 ± 0.007	0.729 ± 0.003
		8	0.430 ± 0.390	0.406 ± 0.366
14	Nunits	4	0.782 ± 0.008	0.723 ± 0.007
		8	0.803 ± 0.004	0.729 ± 0.010
		16	0.823 ± 0.008	0.736 ± 0.007
		32	0.843 ± 0.005	0.731 ± 0.017
		64*	0.885 ± 0.003	0.727 ± 0.005
		128	0.906 ± 0.022	0.712 ± 0.007
		256	0.969 ± 0.001	0.708 ± 0.007
15	σage	0	0.815 ± 0.125	0.642 ± 0.088
		1	0.882 ± 0.008	0.713 ± 0.015
		2	0.886 ± 0.004	0.720 ± 0.005
		3	0.879 ± 0.001	0.718 ± 0.004
		clamped*	0.885 ± 0.003	0.727 ± 0.005
16	pgender	0	0.883 ± 0.005	0.728 ± 0.011
		0.2	0.882 ± 0.008	0.726 ± 0.003
		0.4	0.885 ± 0.003	0.725 ± 0.008
		0.6	0.883 ± 0.004	0.717 ± 0.013
		0.8	0.876 ± 0.016	0.719 ± 0.002
		clamped*	0.885 ± 0.003	0.727 ± 0.005
17	Database	in-house*	0.885 ± 0.003	0.727 ± 0.005
		SIESTA	0.797 ± 0.001	0.760 ± 0.022
18	Method	our*	0.885 ± 0.003	0.727 ± 0.005
		log. reg.	0.422 ± 0.013	0.408 ± 0.041
		CNN [6]	0.820 ± 0.002	0.708 ± 0.005

Kappa is shown as Mean ± STD.