Brain-Computer Interface Games

Notes:

A brain-computer interface (BCI) is a system that allows a person to communicate with a computer or other device using brain activity alone, without the need for physical movement. BCIs use sensors to detect and measure brain activity, such as electroencephalography (EEG) or magnetoencephalography (MEG), and translate this activity into commands or signals that can be interpreted by the computer or device.

BCIs are often used in the field of extended reality (XR), which includes virtual reality (VR), augmented reality (AR), and mixed reality (MR). In these contexts, BCIs can be used to allow a person to interact with a virtual or augmented environment using their thoughts alone. For example, a person wearing a VR headset equipped with a BCI could use their thoughts to control the movements of a virtual character or object, or to navigate through a virtual environment.

BCIs can also be used to enable new forms of communication and interaction between people in virtual or augmented environments. For example, a group of people wearing VR headsets equipped with BCIs could use their thoughts to communicate with each other and collaborate on tasks or projects in a virtual space.

BCIs are still in the early stages of development, and there are many challenges to be overcome in order to make them more practical and widely available. However, the potential uses of BCIs in the field of XR are vast, and researchers and developers are actively exploring new applications and ways to improve and advance the technology.

There are many different types of brain-computer interface (BCI) games that have been developed over the years. Here are a few examples:

Mindball: This is a competitive game in which two players wear EEG headsets and attempt to move a ball towards their opponent’s goal using only their brain activity. The player who generates the most relaxed brainwaves is able to move the ball the farthest.
Brainflight: This is a VR game in which players use a BCI to control a plane or other aircraft by altering their brain activity. The game is designed to help players learn to control their brain activity and improve their focus and attention.
Mind controlled robot: This is a game in which players use a BCI to control the movement of a small robot or other device. The game is designed to help players learn to control their brain activity and improve their concentration and focus.
Brain Gym: This is a series of mini-games that use a BCI to help players improve their cognitive skills, such as memory, attention, and problem-solving. The games are designed to be fun and engaging, while also helping players improve their mental abilities.
Neurofeedback games: These are games that use a BCI to provide real-time feedback to players on their brain activity, helping them learn to control their brainwaves and improve their mental skills. Examples include games that help players improve their focus, reduce stress, or improve their memory.

Resources:

bbci.de .. berlin brain-computer interface
ifip-icec.org .. international conference on entertainment computing
isnr.org .. international neurofeedback organization
neuroregulation.org .. official journal of isnr

Wikipedia:

References:

Entertainment Computing – ICEC 2011

The PERSON project: a serious brain-computer interface game for treatment in cognitive impairment
A Monaco, G Sforza, N Amoroso, M Antonacci… – Health and …, 2019 – Springer
The cognitive and computational neurosciences have developed neurorehabilitative tools able to treat suffering subjects from early symptoms, in order to give priority to a home environment. In this way, the curative treatment would not burden the hospital with excessive …

Brain-computer interface (BCI) game for mindfulness training
SY Goh – 2019 – dr.ntu.edu.sg
Mindfulness training has been known to provide individuals with a sense of overall well-being. This project aims to explore innovative ways to integrate EEG headbands to help people train mindfulness with non-invasive feedbacks. Experiments were designed and …

Mental fatigue assessment using brain computer interface (BCI) game
MINH Sulaiman – 2019 – dr.ntu.edu.sg
Mental fatigue has been a prevalent factor affecting mental efficiency while performing various cognitive workload tasks. Since mental fatigue does not have a clear-cut definition, symptoms such as drowsiness, stress, forgetfulness and the inability to concentrate were …

Battle of minds: a new interaction approach in BCI games through competitive reinforcement
YA Sekhavat – Multimedia Tools and Applications, 2019 – Springer
Brainwaves can be used as auxiliary inputs in the design of game mechanics for attention training games. Although attention training games are generally developed in the single-player mode, multi-player games can be more engaging and fun to play. This paper …

The Development of” Orbit” The Collaborative BCI Game for Children with AD (H) D
K Arrambide, L Freiman Cormier, RR Wehbe… – Extended Abstracts of …, 2019 – dl.acm.org
ABSTRACT Children with Attention Deficit (Hyperactivity) Disorder or AD (H) D can require treatment for which they need to experience long-lasting neurofeedback sessions. Children might not adhere to at-home treatment activities because of the nature of these sessions; …

The Effect of Auditory Stimuli on User’s Meditation and Workload in a Brain–Computer Interface Game
GAM Vasiljevic, LC de Miranda – Interacting with Computers, 2019 – academic.oup.com
The advancement of Brain–computer interface (BCI) technology allowed for the development of applications not only for physically-impaired users, but for entertainment purposes as well. However, there are still numerous challenges in the development of such …

Two Player Online Brain-Controlled Chess
D Hübner, A Schall… – 2019 41st Annual …, 2019 – ieeexplore.ieee.org
… Given the high popularity of chess, this intuitive BCI game is an appealing new … Ahn, M. Lee, J. Choi, and SC Jun, “A review of brain-computer interface games and an … A. Nijholt, M. Poel, and M. Obbink, “Evaluating a multi-player brain–computer interface game: challenge versus …

Towards a hybrid BCI gaming paradigm based on motor imagery and SSVEP
Z Wang, Y Yu, M Xu, Y Liu, E Yin… – International Journal of …, 2019 – Taylor & Francis
… A classic game, Tetris, was chosen as the control object. The novelty of this study includes the effective usage of a “dwell time” approach and fusion rules to design BCI games … Indeed, previous studies primarily focused on employing single- model BCI paradigms in BCI games …

BrainGames: Using Your Head For A Better Experience?
WRJ Bannink – 2019 – dspace.library.uu.nl
… This was the case in both games. Keywords: Brain-Computer Interface, Games, Immersion, SSVEP, EEG, Selective Attention, Noisetag, VR … 2.3. Related work After the first BCI game was created by Vidal [33], there was not much progress into BCI games …

PFML-based semantic BCI agent for game of Go learning and prediction
CS Lee, MH Wang, LW Ko, BY Tsai, YL Tsai… – arXiv preprint arXiv …, 2019 – arxiv.org
… and intellectual learning goal in the future. Keywords—particle swarm optimization, fuzzy markup language, brain computer interface, game of Go, FAIR ELF OpenGo I. INTRODUCTION Inspired by DeepMind’s work (AlphaGoZero …

Effects of Task Complexity on Motor Imagery-Based Brain–Computer Interface
MEM Mashat, CT Lin, D Zhang – IEEE Transactions on Neural …, 2019 – ieeexplore.ieee.org
… A main objective of BCI systems is to facilitate rehabilitation and communication [1]. Nevertheless, it can also be used for entertainment, such as BCI games [2]. Electroencephalography … [2] M. Ahn, M. Lee, J. Choi, and SC Jun, “A review of brain-computer interface games and an …

Target Classification in a Novel SSVEP-RSVP Based BCI Gaming System
T Nayak, LW Ko, TP Jung… – 2019 IEEE International …, 2019 – ieeexplore.ieee.org
… In this BCI game design, as SSVEP flicker frequencies are in close range (4-7 Hz) EEG epochs extracted suffer from the significant overlap between … [14] A. Finke, A. Lenhardt, and H. Ritter, “The MindGame: a P300-based brain–computer interface game,” Neural Networks, vol …

Conceptualizing BCI and AI in Video Games
H Arora, AP Agrawal… – … Conference on Computing …, 2019 – ieeexplore.ieee.org
… X. CONCLUSION & FUTURE WORK In this study, we proposed the BCI game system merged with the concepts of Artificial Intelligence … The effect of immersive head mounted display on a brain computer interface game … Brain-computer interface games: Towards a framework …

The influence of graphical elements on user’s attention and control on a neurofeedback-based game
GAM Vasiljevic, LC de Miranda – Entertainment Computing, 2019 – Elsevier
… However, BCI games tend to be not very attractive to the general public, not only for the need of specific equipment for its function, but also because BCI games are often simplified or have poor … In this paper, an experiment using an attention-based BCI game is described …

Mind your thoughts: BCI using single EEG electrode
S Narayana, RRV Prasad… – IET Cyber-Physical …, 2019 – ieeexplore.ieee.org
… entertainment. This approach includes applications like BCI ‘painting’ system where a physically disabled patient can get the pleasure of painting without using hands [1]. BCI games have also been used to stimulate mental exercises. In …

Special Issue on Advances in Human-Computer Interaction
C Ardito, M De Marsico, D Gadia, D Maggiorini… – Multimedia Tools and …, 2019 – Springer
… 9] is definitely much narrower and more precise. Its aim is to test the efficacy of a Brain Computer Interface (BCI) game as a mean to foster neurofeedback training in autistic children. The authors underline the lack of scientific …

A cooperative game using the P300 EEG-based brain-computer interface
K Sumi, K Yabuki, TJ Tiam-Lee… – Assistive and …, 2019 – intechopen.com
… rehabilitation. A P300 BCI has also been used with virtual reality spaces [14] and as an interface for Twitter and Second Life [15]. Simple BCI games can also be useful for helping a user to control his or her brain activity. Games …

Development of Brain Computer Interface based Action Observation Program with Functional Electrical Stimulation device (FES)
J Son, J Ku – 2019 7th International Winter Conference on Brain …, 2019 – ieeexplore.ieee.org
… of the FES. In this paper, we developed a program that combine FES to enable upper extremity exercise with AO BCI game. And we conducted a survey about developed program on healthy adults. II. METHOD A. About the …

Brain Computer Interface-Based Action Observation Game Enhances Mu Suppression in Patients with Stroke
H Choi, H Lim, JW Kim, YJ Kang, J Ku – Electronics, 2019 – mdpi.com
… The feedback score was 58.63 ± 4.63 in average for the BCI-AO game condition. There was no feedback score in conventional AO condition. 4. Discussion. We investigated the effects of a new rehabilitation program combining a BCI game and AO in patients with stroke …

Serious game for real-time brain-computer interface training
IM Vega, CA Adarve, HF Villar-Vega… – Journal of Physics …, 2019 – iopscience.iop.org
… Considering that several investigations have shown that BCI users can learn to control their brain activity through video games [4,15,17] and that BCI games can be a source of motivation to practice, this research presents a SG for the training of end users of BCI systems, as a …

BRAIN-COMPUTER INTERFACE RACING AT THE CYBATHLON
D Novak, R Sigrist, R Riener – pdfs.semanticscholar.org
Page 1 …

An Offline Study for a Single-Trial ERP Card-Guessing Game
A Rezeika, F Gembler, M Benda… – 2019 IEEE International …, 2019 – ieeexplore.ieee.org
… fit into the everyday life [11], [12]. In this paper, we discuss the multivariate methods used for an offline single-trial ERP classification as a preparation for developing an online BCI game. The objective was to determine the optimal …

An Experiential Learning-Based Approach to Neurofeedback Visualisation in Serious Games
R Murdoch – Biomedical Visualisation, 2019 – Springer
… Exploring BCI’s “path towards multimedia applications”. Bos et al. (2010) explored using user focused human-computer interaction approaches in the domain of BCI games. Discussing the increasing availability of BCI solutions and its possible use in games and new mediums …

Deep Learning for RSVP-SSVEP Game
MT Mittelstadt – 2019 – search.proquest.com
… The SSVEP- RSVP BCI game used in this experiment is like the popular Bejeweled game developed by … This project tests different machine learning algorithms in a unimodal SSVEP-RSVP BCI game like the popular Bejeweled game, developed by PopCap Games …

B2CI 2019: The IEEE Brain to Computer Interface Competition’s Gaming Event
JM McQuighan, G Bajwa… – 2019 IEEE Conference on …, 2019 – ieeexplore.ieee.org
… commands. This made the Cybathlon BCI game an entry level event for engineering students … disabled. One of the cochairs of B2CI 2019 met with Mark Barlet, the founder of AbleGamers, in February 2019 in preparation for the BCI game event …

A cognitive brain–computer interface monitoring sustained attentional variations during a continuous task
A Gaume, G Dreyfus, FB Vialatte – Cognitive neurodynamics, 2019 – Springer
… However, many other applications can emerge from the development of real-time brain signals decoding and stimulation techniques. They include applications of neurofeedback, and applications outside of the medical world, such as in BCI games (Marshall et al …

A BCI-based Assessment of a Player’s State of Mind for Game Adaptation
V Carofiglio, BN De Carolis, F D’Errico – Proceedings of GHItaly19-3rd …, 2019 – ceur-ws.org
… In our approach we use physiological data coming from the proessing of EEG signals. These are automatically recognized by the BCI and used to monitor the mental state of the player and adapt the gameplay accordingly. For more extensive BCI game reviews, refer to [14] …

Design of a Brain-Controlled Video Game based on a BCI System
SD Rosca, M Leba – MATEC Web of Conferences, 2019 – matec-conferences.org
… 2, the two players avatar presented in area 4 of the fig. 2. [1] Fig. 2. The Mental War game GUI [13]. The LazyBrains represent a biofeedback BCI game developed by Drexel University in 2008 that uses a fNIR device instead of an EEG headset as controller …

An AR Sandbox as a Collaborative Multiplayer Rehabilitation Tool for Children with ADHD
M Gabele, S Schröer, S Husslein, C Hansen – Mensch und Computer 2019 …, 2019 – dl.gi.de
… Often negative reinforcement is used in BCI games. Positive reinforcement as a behavior enhancing element promotes intrinsic motivation and is better suited to help players regulate brain activity [24] … 2017. Brain-computer interface games: Towards a framework …

Serious Games, Meditation, Brain-Computer Interfacing, and Virtual Reality (VR): Empowering Players to Discover Their Minds
R Murdoch – Virtual and Augmented Reality in Mental Health …, 2019 – igi-global.com
… Exploring BCI’s ‘path towards multimedia applications’. Bos et al. (2010) explored using user focused human-computer interaction approaches in the domain of BCI games. Discussing the increasing availability of BCI solutions and its possible use in games and new mediums …

More Than One—Artistic Explorations with Multi-agent BCIs
D Rosenboom, T Mullen – Brain Art, 2019 – Springer
… simultaneous and sustained alpha wave bursts. Interestingly, similar questions were explored nearly 30 years later in the context of a popular multi-agent BCI game and research project called BrainBall. Created in 1999 at the …

Using brain-computer interfaces: a scoping review of studies employing social research methods
J Kögel, JR Schmid, RJ Jox, O Friedrich – BMC medical ethics, 2019 – Springer
… developers are more concerned about the user’s opinion in contrast to the researchers. high potential of BCI and BCI games; further potential fields: in particular rehabilitation and prosthetics. Grübler et al., 2014 [85]. survey. 17 BCI professionals …

The effect of distractors on SSVEP-based brain-computer interfaces
R Zerafa, T Camilleri, KP Camilleri… – Biomedical Physics & …, 2019 – iopscience.iop.org
… increase in mental workload. A common type of real-world BCI application is a BCI game where it is typical to have visual stimuli shown simultaneously with the flickering stimuli used to elicit the SSVEPs. To analyse the effect …

An iot model to improve cognitive skills of student learning experience using neurosensors
A Padhi, MR Babu, B Jha, S Joshi – Internet of Things and Personalized …, 2019 – Springer
… In this paper, the authors research the effect of a neurofeedback based BCI game with respect to the improvement of psychological aspects of healthy subjects. Player’s consideration-related EEG flag controls the BCI amusement …

Human-assistive interface model of physiological computing systems
M VASILJEVAS – 2019 – epubl.ktu.edu
… Recently, we can observe an increasing number of applications that primary focus on healthy users. BCI games and entertainment application, for instance, are expected to constitute a large market of potential users (both healthy and disabled) [Ahn et al., 2014] …

Efficacy and Brain Imaging Correlates of an Immersive Motor Imagery BCI-Driven VR System for Upper Limb Motor Rehabilitation: A Clinical Case Report
AT Vourvopoulos, C Jorge, R Abreu… – Frontiers in human …, 2019 – frontiersin.org
… VR Feedback. The BCI-VR task involved the use of NeuRow, a first-person BCI game (or neurogame). NeuRow uses a self-paced BCI paradigm and not a cue-based in order to increase the ecological validity of the training task …

Ten challenges for EEG-based affective computing
X Hu, J Chen, F Wang, D Zhang – Brain Science Advances, 2019 – journals.sagepub.com
The emerging field of affective computing focuses on enhancing computers’ ability to understand and appropriately respond to people’s affective states in human-computer interactions, and has reveal…

A Feasible Classification Algorithm for Event-Related Potential (ERP) Based Brain-Computer-Interface (BCI) from IFMBE Scientific Challenge Dataset
H Zhao, S Yu, J Prinable, A McEwan… – … Conference on Medical …, 2019 – Springer
… Pathol. 27(1), 1–12 (2018)CrossRefGoogle Scholar. 5. Friedrich, EVC, Suttie, N., Sivanathan, A., Lim, T., Louchart, S., Pineda, JA: Brain-computer interface game applications for combined neurofeedback and biofeedback treatment for children on the autism spectrum. Front …

VIRTUAL REALITY GAMING TECHNOLOGY FOR MENTAL STIMULATION AND THERAPY
S Smys – Journal of Information Technology, 2019 – irojournals.com
… Bellotti, Marina de Tommaso, Pierpaolo Di Bitonto et al. “The PERSON project: a serious brain-computer interface game for treatment in cognitive impairment.” Health and Technology 9, no. 2 (2019): 123-133. [14] Aramaki, Alberto …

Understand and characterize mental effort in a programming-oriented task
J Eloy, AR Teixeira, A Gomes… – 2019 IEEE 6th …, 2019 – ieeexplore.ieee.org
… Neurosci., vol. 4, 2010. [5] M. Ahn, M. Lee, J. Choi, and SC Jun, “A review of brain- computer interface games and an opinion survey from researchers, developers and users.,” Sensors (Basel)., vol. 14, no. 8, pp. 14601–33, Aug. 2014 …

Identification of Real and Imaginary Movements in EEG Using Machine Learning Models
J Moreira, M Moreira, N Pombo, BMC Silva… – … Conference on Medical …, 2019 – Springer
… PLoS One 10(4), e0121896 (2015). https://doi.org/10.1371/journal.pone.0121896CrossRef Google Scholar. 8. Ahn, M., Lee, M., Choi, J., Jun, SC: A review of brain-computer interface games and an opinion survey from researchers, developers and users …

Designing emerging technologies for and with neurodiverse users
VG Motti – Proceedings of the 37th ACM International Conference …, 2019 – dl.acm.org
… To improve children’s attention and reduce anxiety, FarmerKeeper is a brain-computer interface game designed for children with ASD. The usability and UX of the game was evaluated in a 4-week deployment study with 12 children …

Using Discriminative Lasso to Detect a Graph Fourier Transform (GFT) Subspace for robust decoding in Motor Imagery BCI
K Georgiadis, N Laskaris… – 2019 41st Annual …, 2019 – ieeexplore.ieee.org
… Technology 25, no. 2, pp. 99-110, 2013. [3] H, Gurkok, A. Nijholt, and M. Poel, “Brain-computer interface games: Towards a framework.” Handbook of Digital Games and Entertainment Technologies, pp. 133-150, 2017. [4] MV Kosti …

Fusing Acoustic and Electroencephalographic Modalities for User-Independent Emotion Prediction
S Ntalampiras, F Avanzini… – 2019 IEEE International …, 2019 – ieeexplore.ieee.org
… [8] DPO Bos, B. Reuderink, B. van de Laar, H. Gurkok, C. Muhl, M. Poel, D. Heylen, and A. Nijholt, “Human- computer interaction for BCI games: Usability and user ex- perience,” in 2010 International Conference on Cyberworlds, Oct 2010, pp. 277–281 …

Multi-task Classification scheme for Cognitive Imagery EEG Acquired using a Commercial Wireless Headset
N Hooda, N Kumar – 2019 3rd International conference on …, 2019 – ieeexplore.ieee.org
… 140-143. [8] M.-S. Yoh, J. Kwon, and S. Kim, “NeuroWander: a BCI game in the form of interactive fairy tale,” in Proceedings of the 12th ACM international conference adjunct papers on Ubiquitous computing- Adjunct, 2010, pp. 389-390 …

ASYNCHRONOUS DETECTION OF ERROR-RELATED POTENTIALS USING A GENERIC CLASSIFIER
C Lopes-Dias, AI Sburlea, GR Müller-Putz – researchgate.net
… [13] Coyle D, Garcia J, Satti A, Mcginnity TM. EEG- based continuous control of a game using a 3 channel motor imagery BCI: BCI game. in 2011 IEEE Sym- posium on Computational Intelligence, Cognitive Algo- rithms, Mind, and Brain (CCMB), Paris, France, 2011 …

Space-time recurrences for functional connectivity evaluation and feature extraction in motor imagery brain-computer interfaces
PG Rodrigues, CA Stefano Filho, R Attux… – Medical & biological …, 2019 – Springer
This work presents a classification performance comparison between different frameworks for functional connectivity evaluation and complex network feature extraction aiming to distinguish motor…

Current Practical Applications of Electroencephalography (EEG)
CQ Lai, H Ibrahim, MZ Abdullah… – Journal of …, 2019 – ingentaconnect.com
… reading the delivered information. Verkijika et al. [67] introduce a BCI game to reduce students’ anxiety when doing mathematics. Subjects are required to complete two sessions of mathematical games. The recorded EEG during …

A comprehensive review of EEG-based brain–computer interface paradigms
R Abiri, S Borhani, EW Sellers, Y Jiang… – Journal of neural …, 2019 – iopscience.iop.org
This site uses cookies. By continuing to use this site you agree to our use of cookies. To find out more, see our Privacy and Cookies policy. Close this notification …

People-as-a-Service Dilemma: Humanizing Computing Solutions in High-Efficiency Applications
B Bordel, R Alcarria, M Hernández… – … Digital Publishing Institute …, 2019 – mdpi.com
… In International Conference on Human-Computer Interaction; Springer: Cham, Switzerland, 2015; pp. 500–511. 19. Vasiljevic, GAM; de Miranda, LC Brain–Computer Interface Games Based on Consumer-Grade EEG Devices: A Systematic Literature Review. Int. J. Hum …

Methods and Tools for Using BCI with Augmented and Virtual Reality
F Putze – Brain Art, 2019 – Springer
… control. Cyberpsychology Behav 12(1):84–84Google Scholar. Iidal Y, Tsutsumi D, Saeki S, Ootsuka Y, Hashimoto T, Horie R (2017) The effect of immersive head mounted display on a brain computer interface game. In: Chung …

Using brain computer interaction in programming problem solving
J Eloy, AR Teixeira, A Gomes… – 2019 IEEE Global …, 2019 – ieeexplore.ieee.org
… Neurosci., vol. 4, 2010. [5] M. Ahn, M. Lee, J. Choi, and SC Jun, “A review of brain-computer interface games and an opinion survey from researchers, developers and users.,” Sensors (Basel)., vol. 14, no. 8, pp. 14601–33, Aug. 2014 …

Usability evaluation process of brain computer interfaces: an experimental study
YN Ortega-Gijón, C Mezura-Godoy – Proceedings of the IX Latin …, 2019 – dl.acm.org
… Dirk Heylen, and Anton Nijholt. 2010. Human- computer interaction for BCI games: Usability and user experience. In Cyber- worlds (CW), 2010 International Conference on. IEEE, 277–281. [3] Clemens Brunner, Giuseppe Andreoni …

Recent Advances in Treating Patients with Attention Deficit Hyperactivity Disorder: A Review of Nonpharmacological Interventions
A Achunair, HM Tairan – Critical Reviews™ in Physical and …, 2019 – dl.begellhouse.com
Page 1. Recent Advances in Treating Patients with Attention Deficit Hyperactivity Disorder: A Review of Nonpharmacological Interventions Abhishek Achunaira,* & Hussain M. Tairana,b aDepartment of Interdisciplinary Sciences …

WaveCSP: a robust motor imagery classifier for consumer EEG devices
M Athif, H Ren – Australasian physical & engineering sciences in …, 2019 – Springer
… In: Systems, Man and Cybernetics (SMC), 2014 IEEE International Conference on, San Diego, CA, USA,Google Scholar. 3. Ahn M, Lee M, Choi J, Jun SC, (2014) A review of brain-computer interface games and an opinion survey from researchers, developers and users …

Inter-subject transfer learning with an end-to-end deep convolutional neural network for EEG-based BCI
F Fahimi, Z Zhang, WB Goh, TS Lee… – Journal of neural …, 2019 – iopscience.iop.org
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Online Home Appliance Control Using EEG-Based Brain–Computer Interfaces
M Kim, MK Kim, M Hwang, HY Kim, J Cho, SP Kim – Electronics, 2019 – mdpi.com
Brain–computer interfaces (BCIs) allow patients with paralysis to control external devices by mental commands. Recent advances in home automation and the Internet of things may extend the horizon of BCI applications into daily living environments at home. In this study, we developed …

eeglib: computational analysis of cognitive performance during the use of video games
L Cabañero, R Hervás, J Bravo… – Journal of Ambient …, 2019 – Springer
Page 1. Vol.:(0123456789) 1 3 Journal of Ambient Intelligence and Humanized Computing https://doi.org/10.1007/s12652-019-01592-9 ORIGINAL RESEARCH eeglib: computational analysis of cognitive performance during the use of video games …

Cybersecurity in Brain-Computer Interfaces: State-of-the-art, opportunities, and future challenges
SL Bernal, AH Celdrán, GM Pérez, MT Barros… – arXiv preprint arXiv …, 2019 – arxiv.org
Page 1. Cybersecurity in Brain-Computer Interfaces: State-of-the-art, opportunities, and future challenges Sergio López Bernal?, Alberto Huertas Celdrán†, Gregorio Mart?nez Pérez ?, Michael Taynnan Barros †, Sasitharan Balasubramaniam † …

A new algorithm for blink correction adaptive to inter-and intra-subject variability
E Guttmann-Flury, X Sheng, D Zhang, X Zhu… – Computers in biology …, 2019 – Elsevier
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Design and development of an SSVEP based low cost, wearable, and wireless BCI system
A Waheed – 2019 – repository.bilkent.edu.tr
… high speed spellers to write the text [48][49], control of humanoid robot [50], control of lower limb exoskeleton [51], electrical prosthesis [52] and an orthosis [53] and navigation control in 2D BCI games [54]. 1.1.5 Practical BCI Systems …

Diagnostic Assessment Techniques and Non-Invasive Biomarkers for Autism Spectrum Disorder
D Kakkar – International Journal of E-Health and Medical …, 2019 – igi-global.com
Page 1. DOI: 10.4018/IJEHMC.2019070105 International Journal of E-Health and Medical Communications Volume 10 • Issue 3 • July-September 2019 Copyright© 2019,IGIGlobal.Copyingordistributinginprintorelectronicforms …

Towards An Implicit, In-Situ Training Protocol for EEG-based Brain-Computer Interfaces: a Feasibility Study
N Kosmyna – 2019 IEEE International Conference on Systems …, 2019 – ieeexplore.ieee.org
Page 1. Abstract— Making training more seamless is one of the main challenges for BCIs in order to become a modality for common interaction. We explore the integration of BCI training for tasks in a real environment. We propose two implicit training protocols …

Common spatial pattern and wavelet decomposition for motor imagery EEG-fTCD brain-computer interface
A Khalaf, E Sejdic, M Akcakaya – Journal of Neuroscience Methods, 2019 – Elsevier
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Modern Technologies in Studying the Mechanisms, Diagnostics, and Treatment of Autism Spectrum Disorders
AI Fedotchev, VV Dvoryaninova… – ??????????? …, 2019 – cyberleninka.ru
Autism spectrum disorders (ASD) are among the most common and intractable neurological diseases characterized by high heterogeneity and requiring a person-oriented approach to diagnostics and treatment. The purpose of this review is to summarize the literature data of the …

Towards artificial learning companions for mental imagery-based brain-computer interfaces
L Pillette, C Jeunet, R N’Kambou, B N’Kaoua… – arXiv preprint arXiv …, 2019 – arxiv.org
Page 1. Towards Artificial Learning Companions for Mental Imagery-based Brain-Computer Interfaces L. Pillette Inria, LaBRI (Univ. Bordeaux, CNRS, Bordeaux-INP), France lea.pillette@inria.fr C. Jeunet Univ. Rennes, Inria, IRISA …

An Exploratory Study of Brain Computer Interfaces in Computer Science Education
A Gomes, ARA Teixeira, J Eloy… – … de Tecnologias del …, 2019 – ieeexplore.ieee.org
Page 1. 1932-8540 (c) 2019 IEEE. Personal use is permitted, but republication/ redistribution requires IEEE permission. See http://www.ieee.org/ publications_standards/publications/rights/index.html for more information. This …

Evaluation of emotional and neutral pictures as flashing stimuli using a P300 brain–computer interface speller
Á Fernández-Rodríguez… – Journal of neural …, 2019 – iopscience.iop.org
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Interfacing with the nervous system: A review of current bioelectric technologies
R Sahyouni, A Mahmoodi, JW Chen, DT Chang… – Neurosurgical …, 2019 – Springer
The aim of this study is to discuss the state of the art with regard to established or promising bioelectric therapies meant to alter or control neurologic function. We present recent reports on…

Motor imagery EEG recognition with KNN-based smooth auto-encoder
X Tang, T Wang, Y Du, Y Dai – Artificial Intelligence in Medicine, 2019 – Elsevier
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An artistic approach to neurofeedback for emotion regulation
D Gabriel, T Chabin, C Joucla, T Bussière, A Tarka… – bioRxiv, 2019 – biorxiv.org
Page 1. 1 An artistic approach to neurofeedback for emotion regulation Damien Gabriel1,2,3 , Thibault Chabin1,2, Coralie Joucla1,2, Thomas Bussière1, Aleksandra Tarka1, Nathan Galmes1,2, Alexandre Comte1,2,3, Guillaume …

BCI-Based Expressive Arts: Moving Toward Mind-Body Alignment
RTH Ho, SH Markosov, N Sanders, CS Nam – Brain Art, 2019 – Springer
… Springer, New York, pp 38–62CrossRefGoogle Scholar. Friedrich EV et al (2014) Brain-computer interface game applications for combined neurofeedback and biofeedback treatment for children on the autism spectrum. Front …

Acquisition of a mental strategy to control a virtual tail via brain–computer interface
A Fujisawa, S Kasuga, T Suzuki… – Cognitive neuroscience, 2019 – Taylor & Francis
Page 1. ARTICLE Acquisition of a mental strategy to control a virtual tail via brain–computer interface Ayaka Fujisawa*a, Shoko Kasuga*a,b, Takaharu Suzukia and Junichi Ushibab,c aGraduate School of Science and Technology …

Analyzing the difference between deep learning and machine learning features of EEG signal using clustering techniques
A Saha, SS Rathore, S Sharma… – 2019 IEEE Region 10 …, 2019 – ieeexplore.ieee.org
… System, vol. 4, 2015. [10] M. Ahn, M. Lee, J. Choi, and SC Jun, “A Review of Brain-Computer Interface Games and an Opinion Survey from Researchers, Developers and Users,” Sensors, vol. 14, no. 8, pp. 14601–14633, 2014. [11 …

Connectivity steered graph Fourier transform for motor imagery BCI decoding
K Georgiadis, N Laskaris, S Nikolopoulos… – Journal of neural …, 2019 – iopscience.iop.org
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Introduction: Brain-Computer Interfaces for Artistic Expression
A Nijholt – Brain Art, 2019 – Springer
… environment or tool. In BCI game development, we see explorations of all kinds and combinations of active and reactive BCI paradigms together with more traditional human-computer interaction modalities. Although there are …

Fog Computing for 5G-Enabled Tactile Internet: Research Issues, Challenges, and Future Research Directions
S Aggarwal, N Kumar – Mobile Networks and Applications, 2019 – Springer
Page 1. Mobile Networks and Applications https://doi.org/10.1007/s11036-019-01430- 4 Fog Computing for 5G-Enabled Tactile Internet: Research Issues, Challenges, and Future Research Directions Shubhani Aggarwal1 · Neeraj Kumar1 …

Classi fication of motor imagery tasks based on BCI paradigm
N Hossain, BI Hasan, MH Mohona, KR Noshin – 2019 – dspace.bracu.ac.bd
Page 1. Classification of Motor Imagery Tasks based on BCI Paradigm by Nahid Hossain 14201027 Bhuiyan Itmam Hasan 14201035 Mahfuza Humayra Mohona 14301028 Kantat Rehnuma Noshin 15301066 A thesis to the …

Using synchrony-based neurofeedback in search of human connectedness
S Dikker, S Montgomery, S Tunca – Brain Art, 2019 – Springer
In this chapter, we explore whether brain-computer interface (BCI) applications can embody the elusiveness of human connectedness. Concretely, we discuss a series of art/neuroscience works that track…

Reading into the mind’s eye: boosting automatic visual recognition with EEG signals
N Cudlenco, N Popescu, M Leordeanu – Neurocomputing, 2019 – Elsevier
JavaScript is disabled on your browser. Please enable JavaScript to use all the features on this page. Skip to main content Skip to article …

Recognizing Human Emotion patterns by applying Fast Fourier Transform based on Brainwave Features
A Yudhana, S Mukhopadhyay, IR Karas… – 2019 International …, 2019 – ieeexplore.ieee.org
… [20] Djamal, Esmeralda & Abdullah, Maulana & Renaldi, Faiza. (2017). Brain Computer Interface Game Controlling Using Fast Fourier Transform and Learning Vector Quantization. Journal of Telecommunication, Electronic and Computer Engineering. 9. 2289- 8131 …

Applications of multi-way analysis for characterizing paediatric electroencephalogram (EEG) recordings
EW Kinney-Lang – 2019 – pdfs.semanticscholar.org
Page 1. This thesis has been submitted in fulfilment of the requirements for a postgraduate degree (eg PhD, MPhil, DClinPsychol) at the University of Edinburgh. Please note the following terms and conditions of use: This work …

A P300-Based Brain-Computer Interface for Improving Attention
M Arvaneh, IH Robertson, TE Ward – Frontiers in human neuroscience, 2019 – frontiersin.org
A Brain-computer Interface (BCI) can be used as a neurofeedback training tool to improve cognitive performance. BCIs aim to improve the effectiveness and efficiency of the conventional neurofeedback methods by focusing on the self-regulation of individualized neuromarkers rather …

A 0.8-V 82.9- W In-Ear BCI Controller IC With 8.8 PEF EEG Instrumentation Amplifier and Wireless BAN Transceiver
J Lee, KR Lee, U Ha, JH Kim, K Lee… – IEEE Journal of Solid …, 2019 – ieeexplore.ieee.org
… Rehabil. Eng., vol. 8, no. 2, pp. 164–173, Feb. 2000. [2] M. Ahn, M. Lee, J. Choi, and SC Jun, “A review of brain-computer interface games and an opinion survey from researchers, developers and users,” Sensors, vol. 14, no. 8, pp. 14601–14633, Aug. 2014 …

Characterization of Visuomotor/Imaginary Movements in EEG: an Information Theory and Complex Network approach
OA Rosso, F Montani, R Baravalle, N Guisande… – Frontiers in …, 2019 – frontiersin.org
Imagined activities could actually be a cognitive basis for creative thinking. However it is still unknown how they might be related with the architecture of the brain. A recent study has proved the relevance of the imagined activity when investigating neuronal diseases, by comparing …

Reckoning respiratory signals to affectively decipher mental state
T Banerjee, A Khasnobish… – 2019 41st Annual …, 2019 – ieeexplore.ieee.org
… 1, pp. 45–62, 2013. [22] DP-O. Bos, B. Reuderink, B. van de Laar, H. Gürkök, C. Mühl, M. Poel, D. Heylen, and A. Nijholt, “Human-computer interaction for bci games: Usability and user experience,” in 2010 International Conference on Cyberworlds, pp. 277–281, IEEE, 2010 …

Workshops of the seventh international brain-computer interface meeting: not getting lost in translation
JE Huggins, C Guger, E Aarnoutse… – Brain-Computer …, 2019 – Taylor & Francis
Page 1. ARTICLE Workshops of the seventh international brain-computer interface meeting: not getting lost in translation Jane E. Huggins a, Christoph Guger b, Erik Aarnoutse c, Brendan Allison d, Charles W. Andersone, Steven …

Doing things with thoughts: Brain-computer interfaces and disembodied agency
S Steinert, C Bublitz, R Jox, O Friedrich – Philosophy & Technology, 2019 – Springer
Connecting human minds to various technological devices and applications through brain-computer interfaces (BCIs) affords intriguingly novel ways for humans to engage and interact with the world. Not…

Advancing Diversity, Inclusion, and Social Justice Through Human Systems Engineering
RD Roscoe, EK Chiou, AR Wooldridge – 2019 – taylorfrancis.com
Page 1. Advancing Diversity, Inclusion, and Social Justice Through Human Systems Engineering Page 2. Page 3. Advancing Diversity, Inclusion, and Social Justice Through Human Systems Engineering Edited by Rod D. Roscoe, Erin K. Chiou, and Abigail R. Wooldridge Page 4 …

Towards a Pragmatic Approach to a Psychophysiological Unit of Analysis for Mental and Brain Disorders: An EEG-Copeia for Neurofeedback
JA Micoulaud-Franchi, JM Batail, T Fovet… – Applied …, 2019 – Springer
This article proposes what we call an “EEG-Copeia” for neurofeedback, like the “Pharmacopeia” for psychopharmacology. This paper proposes to define an “EEG-Copeia” as an organized list of…

Single-paradigm and hybrid brain computing interfaces and their use by disabled patients
M De Neeling, MM Van Hulle – Journal of neural engineering, 2019 – iopscience.iop.org
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Entropy-based Motion Intention Identification for Brain-Computer Interface
T Stefano, B Gloria, T Luca, M Emanuele – arXiv preprint arXiv:1905.10254, 2019 – arxiv.org
… 1941–1944. [10] D. Coyle, J. Garcia, AR Satti, and TM McGinnity, “Eeg-based continuous control of a game using a 3 channel motor imagery bci: Bci game,” in 2011 IEEE Symposium on Computational Intelligence, Cognitive Algorithms, Mind, and Brain (CCMB). IEEE, 2011, pp …

EEG-Based Brain-Computer Interfaces
Y Wang, M Nakanishi, D Zhang – Neural Interface: Frontiers and …, 2019 – Springer
Brain-computer interfaces (BCIs) provide a direct communication channel between human brain and output devices. Due to advantages such as non-invasiveness, ease of use, and low cost,…

Increasing Self-Monitoring Effectiveness Using Heart Rate Zone Notifications and The Zones of Regulation
J Jones – 2019 – rave.ohiolink.edu
Page 1. Page 2. Running head: INCREASING SELF-MONITORING EFFECTIVENESS Increasing Self-Monitoring Effectiveness Using Heart Rate Zone Notifications and The Zones of Regulation® A dissertation submitted to the Graduate School of the University of Cincinnati …

Virtual reality-based cognitive healthcare interventions: User-centered design considerations, guidelines and framework
RI García-Betances, MF Cabrera-Umpiérrez… – 2019 – psyarxiv.com
Page 1. 1 Virtual reality-based cognitive healthcare interventions: User-centered design considerations, guidelines and framework Rebeca I. García-Betances* , María F. Cabrera-Umpiérrez, and María T. Arredondo Waldmeyer …

Entropy-based Motion Intention Identification for Brain-Computer Interface
S Tortora, G Beraldo, L Tonin… – 2019 IEEE International …, 2019 – ieeexplore.ieee.org
… 1941–1944. [10] D. Coyle, J. Garcia, AR Satti, and TM McGinnity, “EEG-based continuous control of a game using a 3 channel motor imagery BCI: BCI game,” in 2011 IEEE Symposium on Computational Intelligence, Cognitive Algorithms, Mind, and Brain (CCMB) …

BCI and Multimodal Feedback Based Attention Regulation for Lower Limb Rehabilitation
J Wang, W Wang, ZG Hou, W Shi… – … Joint Conference on …, 2019 – ieeexplore.ieee.org
… Games, vol. 5, no. 2, pp. 82–99, 2013. [15] H. Grkk, G. Hakvoort, and M. Poel, “Evaluating user experience in a selection based brain-computer interface game a comparative study,” vol. 6972, pp. 77–88, 2011. [16] W. Klimesch …

COMP4801: Final Year Project 2018-19
A Tam – 2019 – i.cs.hku.hk
Page 1. i COMP4801: Final Year Project 2018-19 Brain-Computer Interfacing System Final Report Supervisor Dr Anthony Tam Department of Computer Science University of Hong Kong Team Members Sagar Gupta (Author) 3035238785 Rohak Singhal 3035242475 …

Usability Evaluation of Brain Computer Interfaces: Analysis of Methods and Tools
YN Ortega-Gijon… – 2019 IEEE International …, 2019 – ieeexplore.ieee.org
… 3, pp. 421–427, 2018. [17] DP-O. Bos, B. Reuderink, B. van de Laar, H. Gurkok, C. Muhl, M. Poel, D. Heylen, and A. Nijholt, “Human-computer interaction for bci games: Usability and user experience,” in Cyberworlds (CW), 2010 International Conference on. IEEE, 2010, pp …

Direct Neural Interface
H Tashiro, MB Popovic, K Iramina, Y Terasawa… – …, 2019 – books.google.com
Page 154. 6 Direct Neural Interface Hiroyuki Tashiro*, Marko B. Popovic†, Keiji Iramina*, Yasuo Terasawa‡, Jun Ohta § * KYUSHU UNIVERSITY, FUKUOKA, JAPAN† WORCESTER POLYTECHNIC INSTITUTE, WORCESTER …

Towards a Brain-Robot Interface for children
G Beraldo, S Tortora, E Menegatti – 2019 IEEE International …, 2019 – ieeexplore.ieee.org
… Tasks.” Scientific Reports, no. 6, p. 38565, 2016. [21] A. Finke, A. Lenhardt, and H. Ritter, “The MindGame: a P300-based brain–computer interface game,” Neural Networks, vol. 22, no. 9, pp. 1329–1333, 2009. [22] M. Carrillo …

EEG Artifacts Handling in a Real Practical Brain–Computer Interface Controlled Vehicle
A Jafarifarmand… – IEEE Transactions on …, 2019 – ieeexplore.ieee.org
Page 1. 1200 IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, VOL. 27, NO. 6, JUNE 2019 EEG Artifacts Handling in a Real Practical Brain–Computer Interface Controlled Vehicle Aysa Jafarifarmand and Mohammad Ali …

Neurogaming with motion-onset visual evoked potentials (mVEPs): adults versus teenagers
R Beveridge, S Wilson, M Callaghan… – IEEE Transactions on …, 2019 – ieeexplore.ieee.org
Page 1. 572 IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, VOL. 27, NO. 4, APRIL 2019 Neurogaming With Motion-Onset Visual Evoked Potentials (mVEPs): Adults Versus Teenagers …

Combined Lateral and Longitudinal Control of EEG Signals-Based Brain-Controlled Vehicles
Y Lu, L Bi – IEEE Transactions on Neural Systems and …, 2019 – ieeexplore.ieee.org
Page 1. 1732 IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, VOL. 27, NO. 9, SEPTEMBER 2019 Combined Lateral and Longitudinal Control of EEG Signals-Based Brain-Controlled Vehicles …

Consumer grade EEG Measuring Sensors as Research Tools: A Review
P Sawangjai, S Hompoonsup… – IEEE Sensors …, 2019 – ieeexplore.ieee.org
Page 1. 1558-1748 (c) 2019 IEEE. Personal use is permitted, but republication/ redistribution requires IEEE permission. See http://www.ieee.org/ publications_standards/publications/rights/index.html for more information. This …

A-1 A Self-Paced Brain Computer Interface (BCI) Based Point-And-Click System
XY Yong, R Ward, G Birch – bcisociety.org
Page 1. A-1 A Self-Paced Brain Computer Interface (BCI) Based Point-And-Click System Xin Yi Yong*, Rabab Ward, Gary Birch Background and Objective Point-and-dwell assistive systems have the difficulty of identifying whether …

Brain-computer interface for mental attention
F Fahimi – 2019 – dr.ntu.edu.sg
Page 1. Brain-Computer Interface for Mental Attention A thesis submitted to the Nanyang Technological University in partial fulfilment of the requirement for the degree of Doctor of Philosophy By Fatemeh Fahimi School of Computer Science and Engineering 2019 Page 2 …

From Director’s Cut to User’s Cut: to Watch a Brain-Controlled Film is to Edit it
R Ramchurn, S Martindale, ML Wilson… – Proceedings of the 2019 …, 2019 – dl.acm.org
Page 1. From Director’s Cut to User’s Cut: to Watch a Brain-Controlled Film is to Edit it Richard Ramchurn Horizon Doctoral Training Centre University of Nottingham Nottingham, UK richard.ramchurn@nottingham.ac.uk Sarah …

Using Deep Learning and Mobile Offloading to Control a 3D-printed Prosthetic Hand
KA Shatilov, D Chatzopoulos, AWT Hang… – Proceedings of the ACM …, 2019 – dl.acm.org
Page 1. 102 Using Deep Learning and Mobile Offloading to Control a 3D-printed Prosthetic Hand KIRILL A. SHATILOV, The Hong Kong University of Science and Technology DIMITRIS CHATZOPOULOS, The Hong Kong University …

Shannon entropy approach reveals relevant genes in Alzheimer’s disease
A Monaco, N Amoroso, L Bellantuono, E Lella… – PloS one, 2019 – journals.plos.org
Page 1. RESEARCH ARTICLE Shannon entropy approach reveals relevant genes in Alzheimer’s disease Alfonso MonacoID 1, Nicola Amoroso1,2*, Loredana Bellantuono2, Eufemia Lella2, Angela Lombardi1, Anna Monda2 …

Brain Hemorrhage: When Brainwaves Leak Sensitive Medical Conditions and Personal Information
A Neupane, K Satvat, M Hosseini… – 2019 17th International …, 2019 – ieeexplore.ieee.org
Page 1. Brain Hemorrhage: When Brainwaves Leak Sensitive Medical Conditions and Personal Information Ajaya Neupane* Department of Computer Science University of California Riverside Riverside, USA ajaya@ucr.edu …

Gamification in stroke rehabilitation
M De Castro Cros – 2019 – upcommons.upc.edu
Page 1. GAMIFICATION IN STROKE REHABILITATION Marti de Castro Cros Master Universitari en Enginyeria Industrial (MUEI) Master Thesis – UPC Page 2. Abstract Stroke has a high incidence in the population and it is one of the leading causes of functional impairments …

EMOTION-DRIVEN HUMAN-COBOT IN-TERACTION BASED ON EEG IN INDUS-TRIAL APPLICATIONS
AT Eyam – 2019 – pdfs.semanticscholar.org
Page 1. Aitor Toichoa Eyam EMOTION-DRIVEN HUMAN-COBOT IN- TERACTION BASED ON EEG IN INDUS- TRIAL APPLICATIONS Faculty of Engineering and Natural Sciences Master’s Thesis May 2019 Page 2. ii Page 3. i ABSTRACT …

Supervised learning for classification of EEG signals evoked by visual exposure to RGB colors
SH Åsly – 2019 – ntnuopen.ntnu.no
Page 1. Supervised learning for classification of EEG signals evoked by visual exposure to RGB colors June 2019 Master’s thesis Master’s thesis Sara Hegdahl Åsly 2019 Sara Hegdahl Åsly NTNU Norwegian University of Science and Technology …

A conceptual space for EEG-based brain-computer interfaces
N Kosmyna, A Lecuyer – PloS one, 2019 – journals.plos.org
Page 1. RESEARCH ARTICLE A conceptual space for EEG-based brain- computer interfaces Nataliya KosmynaID 1*, Anatole Lé cuyer2 1 MIT Media Lab, Cambridge, MA, United States of America, 2 Inria Rennes, Rennes, France 4 nkosmyna@media.mit.edu Abstract …

Understanding the Brain Function and Emotions: 8th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC …
JMF Vicente, JR Álvarez-Sánchez, F De la Paz López… – 2019 – books.google.com
Page 1. José Manuel Ferrández Vicente José Ramón Álvarez-Sánchez Félix de la Paz López Javier Toledo Moreo Hojjat Adeli (Eds.) Understanding the Brain Function and Emotions 8th International Work-Conference on the …

Emerging Natural User Interfaces in Mobile Computing: A Bottoms-Up Survey
KA Shatilov, D Chatzopoulos, LH Lee, P Hui – arXiv preprint arXiv …, 2019 – arxiv.org
Page 1. Emerging Natural User Interfaces in Mobile Computing: A Bottoms-Up Survey KIRILL A. SHATILOV, The Hong Kong University of Science and Technology, Hong Kong DIMITRIS CHATZOPOULOS, The Hong Kong University …