A new brain-computer interface system using the gaze on rotating vane.

摘要: A brain-computer interface (BCI) is a device that enables direct communication between humans and computers by analyzing neural signals transforming them into digital signals. new braincomputer system based on the gaze rotating vane-dependent EEG signal presented. Classification of done in three sessions: 1-when vane rotates fast slow an anticlockwise manner, 2-when clockwise anti-clockwise 3-when manner. The features are extracted from 1-sec epoch using Fast Fourier Transform (FFT). We use k-nearest neighbor (k_NN) algorithm to classify these features. proposed method also applied 2-sec, 3- sec, 4-sec epochs. All obtained at department electrical electronics engineering, Karadeniz Technical University, 8 healthy human subjects age groups 20 32 years old. efficient classification phase, with accuracy 56-94% for eight results show BCI very accurate.