Physical principles of brain–computer interfaces and their applications for rehabilitation, robotics and control of human brain states

AE Hramov, VA Maksimenko, AN Pisarchik - Physics Reports, 2021 - Elsevier
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 …

A usability study of low-cost wireless brain-computer interface for cursor control using online linear model

R Abiri, S Borhani, J Kilmarx… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
Computer cursor control using electroencephalogram (EEG) signals is a common and well-
studied brain-computer interface (BCI). The emphasis of the literature has been primarily on …

Mind Meets Robots: A Review of EEG-Based Brain-Robot Interaction Systems

Y Zhang, N Rajabi, F Taleb, A Matviienko, Y Ma… - arXiv preprint arXiv …, 2024 - arxiv.org
Brain-robot interaction (BRI) empowers individuals to control (semi-) automated machines
through their brain activity, either passively or actively. In the past decade, BRI systems have …

Optimizing prediction model for a noninvasive brain–computer interface platform using channel selection, classification, and regression

S Borhani, J Kilmarx, D Saffo, L Ng… - IEEE journal of …, 2019 - ieeexplore.ieee.org
A brain-computer interface (BCI) platform can be utilized by a user to control an external
device without making any overt movements. An EEG-based computer cursor control task is …

Evaluating the Feasibility of Visual Imagery for an EEG-Based Brain-Computer Interface

J Kilmarx, I Tashev, JR Millán, J Sulzer… - … on Neural Systems …, 2024 - ieeexplore.ieee.org
Visual imagery, or the mental simulation of visual information from memory, could serve as
an effective control paradigm for a brain-computer interface (BCI) due to its ability to directly …

[PDF][PDF] Analysis and implementation of brain waves feature extraction and classification to control robotic hand

MZ Al-Faiz, AA Al-Hamadani - Iraqi Journal of Information and …, 2018 - iasj.net
In this paper, feature extraction methods such as time domain, frequency domain and spatial
domain were investigated. Where Mean Absolute Value (MAV), Integrated Absolute Value …

STREAMS: An Assistive Multimodal AI Framework for Empowering Biosignal Based Robotic Controls

A Rabiee, S Ghafoori, X Bai, S Ostadabbas… - arXiv preprint arXiv …, 2024 - arxiv.org
End-effector based assistive robots face persistent challenges in generating smooth and
robust trajectories when controlled by human's noisy and unreliable biosignals such as …

Decoding mental representations for neurofeedback in motor and imagery tasks

J Kilmarx - 2023 - repositories.lib.utexas.edu
The inability to execute coordinated movements can have a profound impact on an
individual's ability to complete the activities of daily living. Often times, these impairments …

Convolutional neural networks for a cursor control brain computer interface

D Saffo, JA Kilmarx, S Borhani, R Abiri… - … Society (BMES) Annual …, 2018 - hal.science
A Brain-Computer Interface (BCI) platform can be utilized by a patient to control an external
device without making any overt movements. This can be beneficial to a variety of patients …

On a Gamified Brain-Computer Interface for Cognitive Training of Spatial Working Memory

Z Liu, J Bryan, R Borkoski… - Dynamic Systems …, 2020 - asmedigitalcollection.asme.org
Abstract In the United States, there are a large number of people suffering from memory and
attention deficit problems. For example, patients with attention-deficit hyperactivity disorder …