@CHAPTER{ iet:/content/books/10.1049/pbce114e_ch5, author = {Ahmed M. Azab}, affiliation = {Automatic Control and System Engineering Department, University of Sheffield}, author = {Jake Toth}, affiliation = {Automatic Control and System Engineering Department, University of Sheffield}, author = {Lyudmila S. Mihaylova}, affiliation = {Automatic Control and System Engineering Department, University of Sheffield}, author = {Mahnaz Arvaneh}, affiliation = {Automatic Control and System Engineering Department, University of Sheffield}, keywords = {training data needs;sessions-subjects nonstationarity;brain-computer interface;chapter transfer;potentially one useful solution;long calibration time;available transfer;test subject;target user;session;BCI;classification domain;transfer learning approaches;labelled data;successful transfer learning framework;}, title = {A review on transfer learning approaches in brain–computer interface}, booktitle = Signal Processing and Machine Learning for Brain-Machine Interfaces, publisher = {Institution of Engineering and Technology}, year = {2018}, pages = {81-101}, series = {Control, Robotics and Sensors}, doi = {10.1049/PBCE114E_ch5}, url = {https://digital-library.theiet.org/;jsessionid=cg38ohraboekn.x-iet-live-01content/books/10.1049/pbce114e_ch5} }