Brain-machine interface based on transfer-learning for detecting the appearance of obstacles during exoskeleton-assisted walking
IntroductionBrain-machine interfaces (BMIs) attempt to establish communication between the user and the device to be controlled.BMIs have great challenges to face in order to design a robust control in the real field of application.The artifacts, high volume of training data, and non-stationarity of the signal of EEG-based interfaces are challenges