Results 11 to 20 of about 97,052 (301)

Combining Brain-Computer Interfaces and Assistive Technologies: State-of-the-Art and Challenges [PDF]

open access: yesFrontiers in Neuroscience, 2010
In recent years, new research has brought the field of EEG-based Brain-Computer Interfacing (BCI) out of its infancy and into a phase of relative maturity through many demonstrated prototypes such as brain-controlled wheelchairs, keyboards, and computer ...
José del R. Millán   +12 more
doaj   +3 more sources

Improving Motor Imagery of Gait on a Brain–Computer Interface by Means of Virtual Reality: A Case of Study

open access: yesIEEE Access, 2021
Motor imagery (MI) is one of the most common paradigms used in brain-computer interfaces (BCIs). This mental process is defined as the imagination of movement without any motion.
L. Ferrero   +4 more
doaj   +1 more source

Intention Concepts and Brain-Machine Interfacing [PDF]

open access: yesFrontiers in Psychology, 2012
Intentions, including their temporal properties and semantic content, are receiving increased attention, and neuroscientific studies in humans vary with respect to the topography of intention-related neural responses. This may reflect the fact that the kind of intentions investigated in one study may not be exactly the same kind investigated in the ...
Franziska eThinnes-Elker   +12 more
openaire   +3 more sources

Assessing Footwear Comfort by Electroencephalography Analysis

open access: yesIEEE Access, 2021
Footwear comfort is one of the determinant factors in a buyout decision. The understanding of which brain patterns are involved in the comfort perception of footwear could be an important element to develop the consumer neuroscience field, and could even
M. Ortiz   +4 more
doaj   +1 more source

An EEG database for the cognitive assessment of motor imagery during walking with a lower-limb exoskeleton

open access: yesScientific Data, 2023
One important point in the development of a brain-machine Interface (BMI) commanding an exoskeleton is the assessment of the cognitive engagement of the subject during the motor imagery tasks conducted.
Mario Ortiz   +6 more
doaj   +1 more source

Detecting the Speed Change Intention from EEG Signals: From the Offline and Pseudo-Online Analysis to an Online Closed-Loop Validation

open access: yesApplied Sciences, 2022
Control of assistive devices by voluntary user intention is an underdeveloped topic in the Brain–Machine Interfaces (BMI) literature. In this work, a preliminary real-time BMI for the speed control of an exoskeleton is presented.
Vicente Quiles   +5 more
doaj   +1 more source

Brain-Machine Interfaces to Assist the Blind [PDF]

open access: yesFrontiers in Human Neuroscience, 2021
The loss or absence of vision is probably one of the most incapacitating events that can befall a human being. The importance of vision for humans is also reflected in brain anatomy as approximately one third of the human brain is devoted to vision.
Maurice Ptito   +9 more
openaire   +6 more sources

Pain Control by Co-adaptive Learning in a Brain-Machine Interface.

open access: yesCurr Biol, 2020
Zhang S   +7 more
europepmc   +2 more sources

Design and Evaluation of a Potential Non-Invasive Neurostimulation Strategy for Treating Persistent Anosmia in Post-COVID-19 Patients

open access: yesSensors, 2023
A new pandemic was declared at the end of 2019 because of coronavirus disease 2019 (COVID-19). One of the effects of COVID-19 infection is anosmia (i.e., a loss of smell).
Desirée I. Gracia   +6 more
doaj   +1 more source

Brain–machine interface [PDF]

open access: yesProceedings of the National Academy of Sciences, 2013
In a world awash in technology, the line between humans and machines has begun to blur, our thoughts and actions increasingly shaped and substantiated by machines. Perhaps nowhere is the blurring more evident than in a scientific endeavor called “neural interfacing,” a term for technology aimed at bridging the workings of machines and the human brain ...
openaire   +2 more sources

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