[HTML][HTML] A research agenda for augmented and virtual reality in architecture, engineering and construction
This paper presents a study on the usage landscape of augmented reality (AR) and virtual
reality (VR) in the architecture, engineering and construction sectors, and proposes a …
reality (VR) in the architecture, engineering and construction sectors, and proposes a …
Physical principles of brain–computer interfaces and their applications for rehabilitation, robotics and control of human brain states
Brain–computer interfaces (BCIs) development is closely related to physics. In this paper, we
review the physical principles of BCIs, and underlying novel approaches for registration …
review the physical principles of BCIs, and underlying novel approaches for registration …
Electroencephalography (EEG) technology applications and available devices
M Soufineyestani, D Dowling, A Khan - Applied Sciences, 2020 - mdpi.com
The electroencephalography (EEG) sensor has become a prominent sensor in the study of
brain activity. Its applications extend from research studies to medical applications. This …
brain activity. Its applications extend from research studies to medical applications. This …
Visual and kinesthetic modes affect motor imagery classification in untrained subjects
The understanding of neurophysiological mechanisms responsible for motor imagery (MI) is
essential for the development of brain-computer interfaces (BCI) and bioprosthetics. Our …
essential for the development of brain-computer interfaces (BCI) and bioprosthetics. Our …
Status of deep learning for EEG-based brain–computer interface applications
In the previous decade, breakthroughs in the central nervous system bioinformatics and
computational innovation have prompted significant developments in brain–computer …
computational innovation have prompted significant developments in brain–computer …
A review of user training methods in brain computer interfaces based on mental tasks
Mental-tasks based brain–computer interfaces (MT-BCIs) allow their users to interact with an
external device solely by using brain signals produced through mental tasks. While MT-BCIs …
external device solely by using brain signals produced through mental tasks. While MT-BCIs …
A survey on unmanned aerial vehicle remote control using brain–computer interface
A Nourmohammadi, M Jafari… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Numerous methods have been developed to gain reliable real-time remote control over
pilotless flying aircraft and to perform teleoperation. Recently, state-of-the-art brain-computer …
pilotless flying aircraft and to perform teleoperation. Recently, state-of-the-art brain-computer …
Decoding movement-related cortical potentials based on subject-dependent and section-wise spectral filtering
An important challenge in developing a movement-related cortical potential (MRCP)-based
brain-machine interface (BMI) is an accurate decoding of the user intention for real-world …
brain-machine interface (BMI) is an accurate decoding of the user intention for real-world …
k-fold cross-validation can significantly over-estimate true classification accuracy in common EEG-based passive BCI experimental designs: an empirical investigation
J White, SD Power - Sensors, 2023 - mdpi.com
In passive BCI studies, a common approach is to collect data from mental states of interest
during relatively long trials and divide these trials into shorter “epochs” to serve as individual …
during relatively long trials and divide these trials into shorter “epochs” to serve as individual …
Identification of lower-limb motor tasks via brain–computer interfaces: a topical overview
Recent engineering and neuroscience applications have led to the development of brain–
computer interface (BCI) systems that improve the quality of life of people with motor …
computer interface (BCI) systems that improve the quality of life of people with motor …