http://link.springer.com/chapter/10.1007/978-3-658-02897-8_18
John Edison Muñoz Cardona, a Universidad Tecnológica de Pereira student, has developed a Brain-Kinect Interface for rehabilitation. It combines bio-mechanical signals acquired by the Kinect sensor with signals from the Emotiv EPOC headset.
The combination of motion capture signals and EEG-based BCI is used for interaction in a rehabilitation game for patients with motor and/or cognitive impairments. The system provides a long and fluid interaction time, enabling effective data collection. Software is used to objectively describe body movements
The “Interactive Room for Rehabilitation” is both a real and digital space where patients with neuromotor impairment can interact through movement and thought, allowing motor and cognitive assessment.
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