Games, gameplay, and BCI: the state of the art

D Marshall, D Coyle, S Wilson… - IEEE Transactions on …, 2013 - ieeexplore.ieee.org
Brain-computer interfaces (BCIs) and basic computer games have been interconnected
since BCI development began, exploiting gameplay elements as a means of enhancing …

Technological advancements in affective gaming: A historical survey

T Christy, LI Kuncheva - GSTF Journal on Computing (JoC), 2014 - Springer
Affective gaming (AG) is a cross-disciplinary area drawing upon psychology, physiology,
electronic engineering and computer science, among others. This paper presents a …

[PDF][PDF] A first step towards eye state prediction using eeg

O Rösler, D Suendermann - Proc. of the AIHLS, 2013 - oeft.com
In this paper, we investigate how the eye state (open or closed) can be predicted by
measuring brain waves with an EEG. To this end, we recorded a corpus containing the …

High performance implementation of neural networks learning using swarm optimization algorithms for EEG classification based on brain wave data

A Al Bataineh, A Jarrah - International Journal of Applied …, 2022 - igi-global.com
EEG analysis aims to help scientists better understand the brain, help physicians diagnose
and treatment choices of the brain-computer interface. Artificial neural networks are among …

[PDF][PDF] MindWave device wheelchair control

PD Girase, MP Deshmukh - … Journal of Science and Research (IJSR …, 2016 - academia.edu
A brain-computer interface (BCI) is a direct neural interface between a human or animal
brain and an external world. In this paper the system is presented in which wheelchair is …

[PDF][PDF] Enhancing EEG signals in brain computer interface using wavelet transform

EA Mohamed, MZB Yusoff, NK Selman… - International Journal of …, 2014 - researchgate.net
Brain-computer interface (BCI) is a hardware and software communication system that
enables humans to interact with their surrounding without the involvement of peripheral …

[PDF][PDF] Comparison of EEG devices for eye state classification

O Roesler, L Bader, J Forster, Y Hayashi, S Heßler… - Proc. of the …, 2014 - 5flops.com
In this paper, we investigate whether the price of an EEG device is directly correlated with
the quality of the obtained data when applied to a simple classification task. The data of …

Mental task motor imagery classifications for noninvasive brain computer interface

MZ Yusoff, N Kamel, A Malik… - 2014 5th International …, 2014 - ieeexplore.ieee.org
A Brain computer interface (BCI) has introduced new scope and created a new period for
developers and researchers giving alternative communication channels for paralysed …

Towards thought control of next-generation wearable computing devices

C Powell, M Munetomo, M Schlueter… - Brain and Health …, 2013 - Springer
A new wearable computing era featuring devices such as Google Glass, smartwatches, and
digital contact lenses is almost upon us, bringing with it usability issues that conventional …

An incremental feature reordering (IFR) algorithm to classify eye state identification using EEG

M Sahu, NK Nagwani, S Verma, S Shirke - Information Systems Design …, 2015 - Springer
In this work investigation of eye state identification is performed using EEG system. Binary
classifications developed to categories the eye state in the classes open and closed …