Classification
Classification is a critical step in the BCI pipeline, where extracted features are mapped to specific mental states or commands. This process involves training a model to recognize patterns in the data that correspond to different classes, such as motor imagery tasks or cognitive states. By leveraging statistical or machine learning techniques, classifiers enable the translation of complex brain signals into actionable outputs. Their effectiveness is crucial for ensuring accurate and reliable communication between the user and the BCI system.
Classes