Table 2.

Summary of applications of wearable EEG-based BCIs in equipment control

Reference	EEG recorded	EEG acquisition device	Equipment	Accuracy
Swee et al. [43,44]	Scalp-EEG	Emotiv EPOC	Wheelchair	90%
Voznenko et al. [45]	Scalp-EEG	Emotiv EPOC	Wheelchair	/
Zgallai et al. [46]	Scalp-EEG	Emotiv EPOC	Wheelchair	70% (raw EEG data)96% (spectrum of EEG)
Shahin et al. [47]	Scalp-EEG	Emotiv EPOC	Wheelchair	/
Bousseta et al. [48]	Scalp-EEG	Emotiv EPOC	Robotic arm	85.45%
Zhang et al. [54]	Scalp-EEG	DSI-24	Robotic arm	95.5%
Lim and Quan [60]	Scalp-EEG	Ultracortex “Mark IV”	Robotic arm	92%
Saragih et al. [61]	Scalp-EEG	Ultracortex “Mark IV”	Artificial hand	95.45% (CNN)93.64% (LSTM)
Bolaños et al. [62]	Scalp-EEG	Ultracortex “Mark IV”	Light, bed, and buzzer for requesting	78.75%
Chiu et al. [67]	Forehead-EEG	Mindo 4S	Robotic arm	91.35%
Lin et al. [65]	Forehead-EEG	Mindo 4S	Eating assistance, video entertainment, video calling, and active interaction functions	90.91%
Permana et al. [78]	Forehead-EEG	MindWave Mobile	Wheelchair	52.78–55.56%
Devasia et al. [79]	Forehead-EEG	MindWave Mobile	Wheelchair, light, TV, fan, door	78%
Tiwari et al. [80]	Forehead-EEG	MindWave Mobile	Wheelchair	/
Girase and Deshmukh [81]	Forehead-EEG	MindWave Mobile	Wheelchair	95%
Kaongoen et al. [101]	Ear-EEG	Custom-made headphone	Home appliances	85%