A Collaborative Brain-Computer Interface Framework for Enhancing Group Detection Performance of Dynamic Visual Targets

Table 3

Detection performance of the individual network in the MC-cBCI and MLDANet-cBCI frameworks.

Groups	Individual F1 score in the MC-cBCI framework			Individual F1 score in the MLDANet-cBCI framework
	Participant 1	Participant 2	Participant 3	Participant 1	Participant 2	Participant 3
Group 1	0.55	0.37	0.53	0.71	0.63	0.65
Group 2	0.43	0.48	0.37	0.56	0.61	0.53
Group 3	0.42	0.54	0.44	0.33	0.60	0.71
Group 4	0.40	0.49	0.52	0.63	0.69	0.67
Group 5	0.43	0.56	0.45	0.71	0.76	0.76
Group 6	0.45	0.48	0.50	0.70	0.72	0.74
Group 7	0.48	0.41	0.44	0.55	0.55	0.60
Group 8	0.49	0.40	0.50	0.69	0.66	0.68
Group 9	0.38	0.55	0.47	0.59	0.74	0.65
Group 10	0.33	0.53	0.57	0.45	0.78	0.74
Group 11	0.32	0.60	0.52	0.41	0.79	0.70
Group 12	0.50	0.61	0.32	0.70	0.71	0.52
Group 13	0.49	0.41	0.61	0.72	0.73	0.73
Group 14	0.33	0.51	0.50	0.54	0.71	0.70
Group 15	0.49	0.35	0.50	0.69	0.53	0.69
Group 16	0.48	0.33	0.63	0.68	0.61	0.86
Group 17	0.53	0.64	0.41	0.74	0.76	0.62
Group 18	0.51	0.52	0.39	0.73	0.75	0.70
Group 19	0.33	0.60	0.44	0.52	0.75	0.65
Group 20	0.54	0.37	0.42	0.75	0.63	0.62
Average (60 participants)	0.47			0.66