The extent to which humans can interact with machines significantly enhanced through inclusion of speech, gestures, and eye\r\nmovements. However, these communication channels depend on a functional motor system. As many people suffer from severe\r\ndamage of the motor system resulting in paralysis and inability to communicate, the development of brain-machine interfaces\r\n(BMI) that translate electric or metabolic brain activity into control signals of external devices promises to overcome this\r\ndependence. People with complete paralysis can learn to use their brain waves to control prosthetic devices or exoskeletons.\r\nHowever, information transfer rates of currently available noninvasive BMI systems are still very limited and do not allow versatile\r\ncontrol and interaction with assistive machines.Thus, using brain waves in combination with other biosignals might significantly\r\nenhance the ability of people with a compromised motor system to interact with assistivemachines.Here,we give an overview of the\r\ncurrent state of assistive, noninvasive BMI research and propose to integrate brain waves and other biosignals for improved control\r\nand applicability of assistive machines in paralysis. Beside introducing an example of such a system, potential future developments\r\nare being discussed.
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