BKI: Brain Kinect Interface, a new hybrid BCI for rehabilitation

In this paper we propose the creation of a novel hBCI, which combines biomechanical signals acquired by the Kinect sensor with signals from the BCI system Emotiv EPOC through the strategy of selective attention, using SSVEP signals. SSVEP are neural signals that occur in response to visual stimulation of certain frequency, they can be captured by BCI systems to generate an interaction through the selective attention of the user. The combination of these signals (MoCap and EEG-BCI) is used for interaction in a rehabilitation game for patients with motor and/or cognitive impairments. The system, providing a long and fluid interaction time, enables effective data collection that is aimed to objectively describe body movements through software developed for this purpose. The interaction with the BCI system is performed by the SSVEP which allows the user to explode objects in the air, through the controlled focus in a particular visual stimulus; the EEG signals are processed in the OpenVibe software. The Interactive Room for Rehabilitation, a real space plus a digital environment in which patients with neuromotor disabilities interact through their movements and thoughts, allows specialists to perform objective assessments of motor and/or cognitive aspects. Previous results suggest that acute exercise may enhance cognitive control through the management of visual stimulus.