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Real-time functional resonance imaging (rtfMRI) provides an emerging human-computer interaction (HCI) technology with relatively high spatial resolution. The motor imagery is widely used for sports training of athletes and motor ability rehabilitation of patients, which is a common interaction approach for EEG-based and fMRI-based BCI. An appropriate method of interaction can improve the performance of BCI. In this paper, we implemented a novel HCI system based on rtfMRI using motor imagery interaction. The user interacted with the system by regulating blood oxygenation level dependent (BOLD) signal intensity of the region of interest (ROI) in motor areas using motor imagery, which was presented by the running speed of a virtual human in an animation. The ROI was chosen according to the motor network resulted from the real-time independent component analysis (rtICA). Through the interaction with the HCI system, the user could learn the effectiveness of his motor imagery. © 2013 Springer-Verlag Berlin Heidelberg.

A Novel HCI System Based on Real-Time fMRI Using Motor Imagery Interaction