Social Touch Gesture Recognition Using Convolutional Neural Network

Table 3

Results of our proposed CNN for gesture recognition presented as the accumulated confusion matrix of the leave-one-subject-out cross validation for all subjects.

Gesture	1	2	3	4	5	6	7	8	9	10	11	12	13	14	Total
Grab (1)	552	2	50	1	12	3	12	4	9	1	146	8	1	7	808
Hit (2)	1	198	5	7	7	7	4	2	5	27	4	1	15	6	289
Massage (3)	35	1	1090	3	37	8	38	140	57	1	103	49	2	102	1666
Pat (4)	5	7	8	220	4	3	6	8	21	14	9	9	37	37	388
Pinch (5)	9	1	42	1	392	25	14	9	15	2	48	16	1	21	596
Poke (6)	7	2	8	3	24	296	21	3	11	1	9	6	11	22	424
Press (7)	32	1	36	2	18	17	461	32	10	2	21	14	5	14	665
Rub (8)	13	0	125	7	15	3	72	580	170	3	15	125	1	79	1208
Scratch (9)	9	2	70	13	11	9	17	73	523	4	8	35	7	188	969
Slap (10)	1	31	4	15	3	3	5	4	8	230	9	8	16	12	349
Stroke (11)	126	1	116	2	57	2	17	10	7	3	345	7	1	21	715
Squeeze (12)	4	1	75	7	23	2	8	94	41	2	4	591	3	76	931
Tap (13)	2	10	8	48	5	11	4	7	13	14	0	7	186	47	362
Tickle (14)	10	4	69	13	29	20	8	28	155	6	9	19	16	986	1372
Total	806	261	1706	342	637	409	687	994	1045	310	730	895	302	1618	10 742
CCR%	68.5	75.86	63.89	64.33	61.54	72.37	67.1	58.35	50.05	74.19	47.26	66.3	61.6	60.93	63.71