Decoding covert speech for intuitive control of brain-computer interfaces based on single-trial EEG: a feasibility study
Published: Jun 1, 2019
Abstract
For individuals with severe motor deficiencies, controlling external devices such as robotic arms or wheelchairs can be challenging, as many devices require some degree of motor control to be operated, e.g. when controlled using a joystick. A brain-computer interface (BCI) relies only on signals from the brain and may be used as a controller instead of muscles. Motor imagery (MI) has been used in many studies as a control signal for BCIs....
Paper Details
Title
Decoding covert speech for intuitive control of brain-computer interfaces based on single-trial EEG: a feasibility study
Published Date
Jun 1, 2019
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