Recognizing the activities being performed on a map is crucial for adaptive map design based on user context. Despite eye tracking (ET) demonstrating potential in recognizing map activities and electr
Brain-computer interfaces (BCIs) have been studied extensively in order to establish a non-muscular communication channel mainly for patients with impaired motor functions. However, many limitations r
This dataset contains the data of 18 subjects participated in a P300-based BCI speller experiment with the row column paradigm. Each subject spelled 160 characters throughout 10 blocks. EEG data of ea