Brain-computer Interface (BCI) systems, usually using signals taken from users' brain
through electroencephalography (EEG), control various devices around and provide the user's command
by interacting. Improving the quality of life of people with disabilities is the main goal of BCI
systems. The importance of BCI-based smart home systems is further increasing as a smart home
system directly affects the life of a disabled individual. On the other hand, few BCI systems can be
run directly using smart home systems. The importance of the BCI-based smart home and the few
existing systems require more work in this vital field. In addition, no reviews have described BCI
systems in a smart home. In this study, we reviewed all the papers on BCI-based smart home systems
published in the last 6 years. These studies investigated and evaluated BCI systems from nine
different perspectives. In addition, all studies were examined in terms of signal processing methods.
Finally, the problems and challenges of these systems were discussed and new solutions were proposed.