Results 51 to 60 of about 305,708 (349)
Brain-Computer Interfaces als Arbeitsmittel der Zukunft?
S.445-452In der zunehmend digitalisierten Arbeitswelt gewinnt die Gestaltung von Schnittstellen zwischen Mensch und technischem Arbeitsmittel zunehmend an Bedeutung.
Pollmann, Kathrin
core +1 more source
Advanced TSGL-EEGNet for Motor Imagery EEG-Based Brain-Computer Interfaces
Deep learning technology is rapidly spreading in recent years and has been extensive attempts in the field of Brain-Computer Interface (BCI). Though the accuracy of Motor Imagery (MI) BCI systems based on the deep learning have been greatly improved ...
Xin Deng +4 more
semanticscholar +1 more source
Group Augmentation in Realistic Visual-Search Decisions via a Hybrid Brain-Computer Interface
Groups have increased sensing and cognition capabilities that typically allow them to make better decisions. However, factors such as communication biases and time constraints can lead to less-than-optimal group decisions.
Davide Valeriani +2 more
doaj +1 more source
Revisiting embodiment for brain–computer interfaces
Researchers increasingly explore deploying brain-computer interfaces (BCIs) for able-bodied users, with the motivation of accessing mental states more directly than allowed by existing body-mediated interaction. This motivation seems to contradict the long-standing HCI emphasis on embodiment, namely the general claim that the body is crucial for ...
Serim, Barış +2 more
openaire +3 more sources
Visual Tracking Brain-Computer Interface
Brain-computer interfaces (BCIs) offer a way to interact with computers without relying on physical movements. Non-invasive electroencephalography (EEG)-based visual BCIs, known for efficient speed and calibration ease, face limitations in continuous tasks due to discrete stimulus design and decoding methods.
Changxing Huang +5 more
openaire +4 more sources
Incorporation of a language model into a Brain Computer Interface based speller through HMMs [PDF]
Brain computer interface (BCI) research deals with the problem of establishing direct communication pathways between the brain and external devices. The primary motivation is to enable patients with limited or no muscular control to use external devices ...
Çetin, Müjdat, Ulaş, Çağdaş
core +1 more source
Towards hippocampal navigation for brain–computer interfaces
Automatic wheelchairs directly controlled by brain activity could provide autonomy to severely paralyzed individuals. Current approaches mostly rely on non-invasive measures of brain activity and translate individual commands into wheelchair movements ...
Jeremy Saal +7 more
doaj +1 more source
Neurotechnologies for Human Cognitive Augmentation: Current State of the Art and Future Prospects
Recent advances in neuroscience have paved the way to innovative applications that cognitively augment and enhance humans in a variety of contexts. This paper aims at providing a snapshot of the current state of the art and a motivated forecast of the ...
Caterina Cinel +3 more
doaj +1 more source
Neural–Computer Interfaces: Theory, Practice, Perspectives
This review outlines the technological principles of neural–computer interface (NCI) construction, classifying them according to: (1) the degree of intervention (invasive, semi-invasive, and non-invasive); (2) the direction of signal communication ...
Ignat Dubynin +5 more
doaj +1 more source
Brain–Computer Interfaces for Human Augmentation
The field of brain⁻computer interfaces (BCIs) has grown rapidly in the last few decades, allowing the development of ever faster and more reliable assistive technologies for converting brain activity into control signals for external devices for ...
Davide Valeriani +2 more
doaj +1 more source

