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[HTML][HTML] Gamification of motor imagery brain-computer interface training protocols: A systematic review
Abstract Current Motor Imagery Brain-Computer Interfaces (MI-BCI) require a lengthy and
monotonous training procedure to train both the system and the user. Considering many …
monotonous training procedure to train both the system and the user. Considering many …
SCDAN: Learning common feature representation of brain activation for intersubject motor imagery EEG decoding
Mind the move: Develo** a brain-computer interface game with left-right motor imagery
Brain-computer interfaces (BCIs) are becoming an increasingly popular technology, used in
a variety of fields such as medical, gaming, and lifestyle. This paper describes a 3D non …
a variety of fields such as medical, gaming, and lifestyle. This paper describes a 3D non …
[HTML][HTML] Brain–computer-interface-based smart-home interface by leveraging motor imagery signals
In this work, we propose a brain–computer-interface (BCI)-based smart-home interface
which leverages motor imagery (MI) signals to operate home devices in real-time. The idea …
which leverages motor imagery (MI) signals to operate home devices in real-time. The idea …
[HTML][HTML] Scalp surface Laplacian potential monitoring system based on novel hydrogel active tri-polar concentric ring electrodes
H Hua, B Feng, Z Yuan, Q **ong, L Shu, T Wang… - Sensors and Actuators A …, 2024 - Elsevier
Electroencephalography is valued in brain research for its high temporal resolution and user-
friendly nature. However, limitations in spatial resolution and susceptibility to biological …
friendly nature. However, limitations in spatial resolution and susceptibility to biological …
Object Weight Perception in Motor Imagery Using Fourier-Based Synchrosqueezing Transform and Regularized Common Spatial Patterns
This study addresses the challenge faced by individuals with upper-limb prostheses in
regulating grip force and adapting movements to different object weights. Despite limited …
regulating grip force and adapting movements to different object weights. Despite limited …
Classification of visual perception eeg signals for a 2d platformer game
This research focuses on classifying visual perception brain signals using an OpenBCI
headset to capture the EEG signals from the participants. The headset comprises 16 re …
headset to capture the EEG signals from the participants. The headset comprises 16 re …
A Study on Consumer-Grade EEG Headsets in BCI Applications
This paper emphasizes the importance of wearable electroencephalogram (EEG) headsets
with electrodes and their potential applications, particularly in the specialization of Brain …
with electrodes and their potential applications, particularly in the specialization of Brain …