Results 61 to 70 of about 76,961 (216)
SSVEP Stimulus Layout Effect on Accuracy of Brain-Computer Interfaces in Augmented Reality Glasses
IEEE Access, 2020 Steady-state visual evoked potentials-based brain-computer interfaces (SSVEP-BCI) has the advantage of high information transfer rate (ITR) and little user training, and it has a high application value in the field of disability assistance and human ...
Xincan Zhao +4 more
doaj +1 more source
Spike-Representation of EEG Signals for Performance Enhancement of Brain-Computer Interfaces
Frontiers in Neuroscience, 2022 Brain-computer interfaces (BCI) relying on electroencephalography (EEG) based neuroimaging mode has shown prospects for real-world usage due to its portability and optional selectivity of fewer channels for compactness. However, noise and artifacts often
Sai Kalyan Ranga Singanamalla +2 more
doaj +1 more source
Brain-computer interfaces for communication and control [PDF]
Communications of the ACM, 2011 The brain's electrical signals enable people without muscle control to physically interact with the world.
Dennis J. McFarland, Jonathan R. Wolpaw
openaire +2 more sources
Brain-Computer Music Interface for Music Expression [PDF]
, 2020 Active music listening is a way of listening to music through active interactions. In this paper we present an expressive brain-computer interactive music system for active music listening, which allows listeners to manipulate expressive parameters ...
Giraldo, Sergio +2 more
core +2 more sources
Brain–computer interfaces for speech communication [PDF]
Speech Communication, 2010 This paper briefly reviews current silent speech methodologies for normal and disabled individuals. Current techniques utilizing electromyographic (EMG) recordings of vocal tract movements are useful for physically healthy individuals but fail for tetraplegic individuals who do not have accurate voluntary control over the speech articulators ...
Jonathan S. Brumberg +3 more
openaire +3 more sources
Weighted Multi-Modal Contrastive Learning Based Hybrid Network for Alzheimer’s Disease Diagnosis
IEEE Transactions on Neural Systems and Rehabilitation EngineeringMultiple imaging modalities and specific proteins in the cerebrospinal fluid, providing a comprehensive understanding of neurodegenerative disorders, have been widely used for computer-aided diagnosis of Alzheimer’s disease (AD).
Renping Yu +4 more
doaj +1 more source
Introduction to brain-computer interface: research trends and applications [PDF]
A broader review of the artificial intelligence (AI) and sensing methods used in brain–computer interfaces (BCIs) is given in this chapter. The brain and external equipment, such as computers and electrical gadgets, can communicate via the BCIs.
Subasi, Abdulhamit, Mian Qaisar, Saeed
core +1 more source
IEEE Transactions on Neural Systems and Rehabilitation EngineeringBrain-computer interfaces (BCI) acquire electroencephalogram (EEG) signals to effectively address postoperative motor dysfunction in stroke patients by discerning their motor intentions during significant movements.
Sining Li +5 more
doaj +1 more source
Preprocessing and feature extraction techniques for brain-computer interface [PDF]
In order to improve communication and interaction between humans and computers, the signal processing and artificial intelligence (AI) are vital tools.
Subasi, Abdulhamit, Mian Qaisar, Saeed
core +1 more source
eLifeMice are among the most prevalent animal models used in neuroscience, benefiting from the extensive physiological, imaging, and genetic tools available to study their brain.
Bowen Yu +5 more
doaj +1 more source