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Clinical Brain-Computer Interface (BCI) systems seek to enable paralyzed individuals to operate devices with their brain activity. Non-invasive systems based on electroen-cephalographic (EEG) signals are popular since they avoid risks associated with invasive procedures, but unfortunately EEG signals are inherently noisy, making effective classifiers challenging to develop. Commonly, new classifiers...
Accurate electroencephalography (EEG) classification of finger flexion imagery would endow non-invasive brainmachine interfaces (BMIs) with a much richer control repertoire. Traditionally, it has been assumed that non-invasive methods lack the resolution required for success on such a fine discrimination task. In this study, we challenged this assumption. EEG was acquired while subjects imagined performing...
Voice, data, and video information can be delivered to our homes or businesses using today's technology. But the U.S. market for multimedia information services is in its infancy, and interactive-voice services are merely the first step on the evolutionary path. Applications that use interactive voice fall into four categories: information delivery, entertainment, voice messaging, and transactions...
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