This article reviews advances in decoding methods for brain-machine interfaces (BMIs).
Recent work has focused on practical considerations for future clinical deployment of …

Although many real-time neural decoding algorithms have been proposed for brain-machine
interface (BMI) applications over the years, an optimal, consensual approach remains …

Abstract The Vehicle-Bridge-Interaction (VBI) force, ie, the normal contact force of a tire, is a
key component in the VBI mechanism. The VBI force measurement can facilitate …

With the goal of improving the quality of life for people suffering from various motor control
disorders, brain-machine interfaces provide direct neural control of prosthetic devices by …

Brain-machine interfaces (BMIs) seek to connect brains with machines or computers directly,
for application in areas such as prosthesis control. For this application, the accuracy of the …

Background. Brain–machine interfaces (BMIs) offer users the ability to directly communicate
with digital devices through neural signals decoded with machine learning (ML)-based …

The properties of the Kalman Filter to decode elbow movement from non-invasive EEG are
analyzed in this article. A set of configuration parameters using cross-validation are tested in …

Restoring vision is no longer impossible as a result of recent advances in neural interfaces.
Successful demonstrations of retinal implants motivate the development of more effective …

The onset of computer based speech synthesis has brought mankind a favorable way of
communication by enabling automatic speech-conciliated communication. Assistive …

In the revolutionary era of advanced technologies, computers have benefited humankind in
a favourable way by enabling automatic speech-conciliated communication. Even though …