Results 41 to 50 of about 16,426 (229)

USING BRAIN-COMPUTER INTERFACE TECHNOLOGY AS A CONTROLLER IN VIDEO GAMES

open access: yesInformatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska, 2020
Nowadays, control in video games is based on the use of a mouse, keyboard and other controllers. A Brain Computer Interface (BCI) is a special interface that allows direct communication between the brain and the appropriate external device.
Błażej Zając, Szczepan Paszkiel
doaj   +1 more source

On the stimulus duty cycle in steady state visual evoked potential [PDF]

open access: yes, 2014
Brain-computer interfaces (BCI) are useful devices that allow direct control of external devices using thoughts, i.e. brain's electrical activity. There are several BCI paradigms, of which steady state visual evoked potential (SSVEP) is the most commonly
Wilson, John J., Palaniappan, Ramaswamy
core   +1 more source

Electroencephalography (EEG) brain computer interface (BCI) for mental states detection [PDF]

open access: yes, 2023
Brain Computer Interface (BCI) enables a new dimension for Human Computer Interface, by allowing people to interact directly through their brain signals without conventional pathways.
Aung, Aung Phyo Wai
core   +1 more source

Application of virtual simulation situational model in Russian spatial preposition teaching

open access: yesFrontiers in Psychology, 2022
The purpose is to improve the teaching quality of Russian spatial prepositions in colleges. This work takes teaching Russian spatial prepositions as an example to study the key technologies in 3D Virtual Simulation (VS) teaching.
Yanrong Gao   +3 more
doaj   +1 more source

Research on human-computer shared control technology based on brain-computer interface

open access: yes智能科学与技术学报, 2021
As an active research direction in the field of neural engineering, brain-computer interface (BCI) has important research significance in biomedicine, neural rehabilitation, intelligent robot and other fields.The human-computer shared control technology ...
Xiaoyan DENG   +4 more
doaj  

Magnetoelectric Nanoparticle‐Based Wireless Brain–Computer Interface: Underlying Physics and Projected Technology Pathway

open access: yesAdvanced Science, EarlyView.
Magnetoelectric nanoparticles (MENPs) enable fully wireless, minutely invasive neuromodulation, and potentially neural recording, by converting magnetic into electric and, conversely, electric into magnetic fields, respectively, at high spatiotemporal resolution.
Elric Zhang   +14 more
wiley   +1 more source

A Brain-Computer Interface for robotic arm control [PDF]

open access: yes, 2011
Lenhardt A. A Brain-Computer Interface for robotic arm control. Bielefeld: Universität Bielefeld; 2011.Brain-Computer Interfaces (BCI) are tools that open a new channel of communication between humans and machines.
Lenhardt, Alexander
core   +1 more source

Monitoraggio dell'attività cerebrale tramite brain-computer-interface(BCI) [PDF]

open access: yes, 2022
Un’interfaccia cervello-computer (in inglese, Brain-Computer Interface, abbreviato in BCI, o anche Brain-Machine Interface, BMI) è un sistema di comunicazione in cui i messaggi o i comandi che l’utente normalmente invia per agire sul mondo esterno non ...
Gnamteu Sottang, Fabrice
core  

Multidimensional and Multifunctional Laser‐Induced Graphene (LIG) for Point‐of‐Care and Wearable Biosensing, Theranostics, and Bioactive Interfaces Toward Personalized Healthcare and Regenerative Medicine

open access: yesAdvanced Science, EarlyView.
Multidimensional laser‐induced graphene (LIG) spanning from 0D to 3D architectures is comprehensively reviewed for multifunctional biomedical platforms, including biosensing, theranostics, and bioactive interface applications, which highlights its potentials for point‐of‐care diagnostics, wearable health monitoring, smart drug delivery, and tissue ...
Li Zhang   +3 more
wiley   +1 more source

Wavelet Lifting over Information-Based EEG Graphs for Motor Imagery Data Classification [PDF]

open access: yes, 2014
The imagination of limb movements offers an intuitive paradigm for the control of electronic devices via brain computer interfacing (BCI). The analysis of electroencephalographic (EEG) data related to motor imagery potentials has proved to be a difficult
Gan, John Q   +6 more
core   +1 more source

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