This study explores a brain-computer interface (BCI) that combines augmented reality (AR) with steady-state visual evoked potentials (SSVEP) to help users select real-world objects via visual focus.
By enhancing real objects with visual stimuli, the system generates brain signals that SSVEP technology can interpret to identify what the user is looking at.
The results show a 90.6% accuracy in recognizing SSVEP signals, proving it can assist people with mobility impairments in selecting objects in everyday scenarios.