A comprehensive dataset for home appliance control using ERP-based BCIs with the application of inter-subject transfer learning.

"the data can be accessed at https://github com/jml226/home-appliance-control-dataset ."

"the data can be accessed at https://github com/jml226/home-appliance-control-dataset ."

"Conflict of interest The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. The author(s) declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision."

"The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This research was supported by the Alchemist Project (grant number 20012355, Fully implantable closed loop Brain to X for voice communication) funded by the Ministry of Trade, Industry and Energy (MOTIE, Korea), the Institute of Information and Communications Technology Planning and Evaluation (IITP) Grant funded by the Korea Government (MSIT) (grant number 2017-0-00432, Development of non-invasive integrated BCI SW platform to Control Home Appliances and External Devices by user’s thought via AR/VR interface), and the Brain Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT & Future Planning (grant number 2022M3C7A1015112)."