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The ability to reconstruct muscle activity time series from electroencephalography (EEG) may lead to drastic improvements in brain–machine interfaces (BMIs) by providing a means for realistic continuous reproduction of dexterous movements in human beings. However, it is considered difficult to isolate signals related to individual muscle activities from EEG because EEG sensors record a mixture of...
This study investigated whether normal adults were able to discriminate agency from the perceived traces or trajectories of past actions such as handwritings. Subjects wrote two types of component parts of Chinese characters, either mastered and unmastered, and were later shown various handwritten strokes and judged whether each of them had been written by themselves or by someone else. We found that...
With the purpose of providing assistive technology for the communication impaired, we propose a new approach for speech prostheses using vowel speech imagery. Using a hierarchical Bayesian method, electroencephalography (EEG) cortical currents were estimated using EEG signals recorded from three healthy subjects during the performance of three tasks, imaginary speech of vowels /a/ and /u/, and a no...
With the goal of providing a speech prosthesis for individuals with severe communication impairments, we propose a control scheme for brain–computer interfaces using vowel speech imagery. Electroencephalography was recorded in three healthy subjects for three tasks, imaginary speech of the English vowels /a/ and /u/, and a no action state as control. Trial averages revealed readiness potentials at...
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