Table 10.

Summary of EEG-based BCI environmental control studies.

References	BCI application	Control signal	No. of subject	Method	Performance evaluation
Shyu et al. (2013)	Hospital bed nursing system	SSVEP	15	FPGA	Accuracy: 92.5%, ITR: 5.22 s/command
Zhang et al. (2017)	Environmental control system	ERP	3	Classifier: BLDA	Accuracy: 89.2%
Aydin et al. (2018)	Environmental control system	P300	10	Classifier: LDA	Accuracy: 93.71%
Kosmyna et al. (2016)	Control of a smart home with a BCI	P300, SSVEP	12	Minimum Distance Classifiers	Average accuracy: 81–77%