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A new multi-objective wrapper method for feature selection–accuracy and stability analysis for BCI
Feature selection is an important step in building classifiers for high-dimensional data
problems, such as EEG classification for BCI applications. This paper proposes a new …
problems, such as EEG classification for BCI applications. This paper proposes a new …
Human-computer interaction for brain-inspired computing based on machine learning and deep learning: A review
Neuroimaging tools in multimedia learning: A systematic review
P Ozel, D Mutlu-Bayraktar, T Altan… - Interactive Learning …, 2023 - Taylor & Francis
This study aims to conduct a systematic review of studies on neuroimaging measurements
used in multimedia learning research. The particular aim of the review is to explore how …
used in multimedia learning research. The particular aim of the review is to explore how …
Detection of stroke-induced visual neglect and target response prediction using augmented reality and electroencephalography
We aim to build a system incorporating electroencephalography (EEG) and augmented
reality (AR) that is capable of identifying the presence of visual spatial neglect (SN) and …
reality (AR) that is capable of identifying the presence of visual spatial neglect (SN) and …
A Lasso quantile periodogram based feature extraction for EEG-based motor imagery
Background The extraction of relevant and distinct features from the electroencephalogram
(EEG) signals is one of the most challenging task when implementing Brain Computer …
(EEG) signals is one of the most challenging task when implementing Brain Computer …
Motor imagery based multimodal biometric user authentication system using EEG
Brain Computer Interfaces (BCIs) are regarded as the potential method that bridges the gap
between the human brain and the external world. Non-invasive electroencephalographic …
between the human brain and the external world. Non-invasive electroencephalographic …
Ensemble of classifiers applied to motor imagery task classification for BCI applications
Brain Computer Interfaces allow the interaction between a person and their environment
using signals extracted directly from the brain. One of the most common non-invasive …
using signals extracted directly from the brain. One of the most common non-invasive …
A survey on Internet-of-Thing applications using electroencephalogram
The current chapter deals with a thorough literature survey on different Internet-of-Thing
applications. These applications are mainly dealing with acquisition and processing of …
applications. These applications are mainly dealing with acquisition and processing of …
A survey on emotion recognition from EEG signals: approaches, techniques & challenges
P Santhiya, S Chitrakala - 2019 International Conference on …, 2019 - ieeexplore.ieee.org
Interest have been grown in recent years, emotion recognition system using EEG signal from
brain waves for identifying personality traits based on mind-machine interfaces (brain …
brain waves for identifying personality traits based on mind-machine interfaces (brain …