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Emerging ExG-based NUI Inputs in Extended Realities: A Bottom-up Survey

Kirill A. Shatilov, Dimitris Chatzopoulos, Lik-Hang Lee, Pan Hui
2021 ACM transactions on interactive intelligent systems (TiiS)  
ExG signal acquisition modalities provide a way to interact with computing systems using natural intuitive actions enriching interactions with XR.  ...  sensing technologies united under a collective concept of ExG.  ...  Chan (City University of Hong Kong) for her fruitful suggestions.  ... 
doi:10.1145/3457950 fatcat:nwoengjmn5efbke7sbgdjhq2vy

Cross-Platform Implementation of an SSVEP-Based BCI for the Control of a 6-DOF Robotic Arm

Eduardo Quiles, Javier Dadone, Nayibe Chio, Emilio García
2022 Sensors  
The aim of this study was to test the feasibility of a low-cost robotic arm control system with an EEG-based brain-computer interface (BCI).  ...  The BCI system relays on the Steady State Visually Evoked Potentials (SSVEP) paradigm. A cross-platform application was obtained in C++.  ...  As one of the objectives of this work was to research into practical applications of BCI systems in non-clinical settings, SSVEP was selected because of its high signal-tonoise ratio (SNR).  ... 
doi:10.3390/s22135000 pmid:35808498 pmcid:PMC9269816 fatcat:snelk6qvmvaunb4f3vp6ganpe4

Table of Contents

2022 IEEE Internet of Things Journal  
Mazzenga, A. M. Vegni, and A. Vizzarri 7261 A Wearable Low-Power Collaborative Sensing System for High-Quality SSVEP-BCI Signal Acquisition . . . . . . . . . . . . . . . . . . . . . . . . . . . . R.  ...  Dong 7525 Ultralow-Power Sensing Framework for Internet of Things: A Smart Gas Meter as a Case . . . . . . . . . . . . . . . . . . . . . . .  ... 
doi:10.1109/jiot.2022.3166338 fatcat:g2mg6jjga5gibciaobbpgg25pe

A Bibliometric Analysis of Human-Machine Interaction Methodology for Electric-Powered Wheelchairs Driving from 1998 to 2020

Xiaochen Zhang, Lanxin Hui, Linchao Wei, Fuchuan Song, Fei Hu
2021 International Journal of Environmental Research and Public Health  
We believe that the combination of intelligence and humanization of an EPW HMI system based on human-machine collaboration is an emerging trend in EPW HMI methodology research.  ...  and how human-machine system cooperation will be efficiently conducted.  ...  Acknowledgments: We thank MDPI for its linguistic assistance during the preparation of this manuscript. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/ijerph18147567 fatcat:iwiozusmxvggxcwxxdyw4q4nse

Past, Present, and Future of EEG-Based BCI Applications

Kaido Värbu, Naveed Muhammad, Yar Muhammad
2022 Sensors  
An electroencephalography (EEG)-based brain–computer interface (BCI) is a system that provides a pathway between the brain and external devices by interpreting EEG.  ...  In this review, the equipment used for gathering EEG data and signal processing methods have also been reviewed.  ...  Zerafa et al. showed that low-end research grade EEG systems are comparable to the high-end research grade EEG systems in terms of signal quality.  ... 
doi:10.3390/s22093331 pmid:35591021 pmcid:PMC9101004 fatcat:gn6bt4uqavenzbu3nkt32de42m

Brain–Computer Interfaces for Human Augmentation

Davide Valeriani, Caterina Cinel, Riccardo Poli
2019 Brain Sciences  
control signals for external devices for people with severe disabilities [...]  ...  The field of brain–computer interfaces (BCIs) has grown rapidly in the last few decades, allowing the development of ever faster and more reliable assistive technologies for converting brain activity into  ...  Acknowledgments: We would like to thank to Valentina Unakafova for providing the Permutation Entropy algorithm and to Montserrat-Alvarado González for providing the source code and a detailed description  ... 
doi:10.3390/brainsci9020022 pmid:30682766 pmcid:PMC6406539 fatcat:4kjekrytqrcd7h4egrqlxsdbpq

Identification of Lower-Limb Motor Tasks via Brain–Computer Interfaces: A Topical Overview

Víctor Asanza, Enrique Peláez, Francis Loayza, Leandro L. Lorente-Leyva, Diego H. Peluffo-Ordóñez
2022 Sensors  
This study conducted a topical overview of specialized papers covering lower-limb motor task identification through PR-based BCI/EEG signal analysis systems.  ...  Recent engineering and neuroscience applications have led to the development of brain–computer interface (BCI) systems that improve the quality of life of people with motor disabilities.  ...  Mejía-Ordóñez for the manuscript reviewing and editing. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/s22052028 pmid:35271175 pmcid:PMC8914806 fatcat:6f6utwdasngkhh6qq7mpl4je6m

Heading for new shores! Overcoming pitfalls in BCI design

Ricardo Chavarriaga, Melanie Fried-Oken, Sonja Kleih, Fabien Lotte, Reinhold Scherer
2016 Brain-Computer Interfaces  
As a matter of fact, most of the current BCI systems cannot be used independently for long periods of time by their intended end-users.  ...  This paper is the result of a workshop held at the 6th International BCI meeting in Asilomar.  ...  This paper only reflects the authors' views and funding agencies are not liable for any use that may be made of the information contained herein.  ... 
doi:10.1080/2326263x.2016.1263916 pmid:29629393 pmcid:PMC5884128 fatcat:qffjwjo4yrda5ii2snrkexdj5y

Workshops of the Sixth International Brain–Computer Interface Meeting: brain–computer interfaces past, present, and future

Jane E. Huggins, Christoph Guger, Mounia Ziat, Thorsten O. Zander, Denise Taylor, Michael Tangermann, Aureli Soria-Frisch, John Simeral, Reinhold Scherer, Rüdiger Rupp, Giulio Ruffini, Douglas K. R. Robinson (+18 others)
2017 Brain-Computer Interfaces  
Topics included BCI for specific populations or applications, advancing BCI research through use of specific signals or technological advances, and translational and commercial issues to bring both implanted  ...  Here we provide summaries of each workshop, illustrating the breadth and depth of BCI research and highlighting important issues and calls for action to support future research and development.  ...  . • EEG acquisition: For these children, high-density, wet, wired EEG systems involving long training sessions are not ideal.  ... 
doi:10.1080/2326263x.2016.1275488 pmid:29152523 pmcid:PMC5693371 fatcat:ozzkm4mqofa3fcvwuyk5k3vy3i

A Survey on Deep Learning-based Non-Invasive Brain Signals:Recent Advances and New Frontiers [article]

Xiang Zhang, Lina Yao, Xianzhi Wang, Jessica Monaghan, David Mcalpine, Yu Zhang
2020 arXiv   pre-print
In this article, we systematically investigate brain signal types for BCI and related deep learning concepts for brain signal analysis.  ...  We then present a comprehensive survey of deep learning techniques used for BCI, by summarizing over 230 contributions most published in the past five years.  ...  Signals EEG fNIRS fMRI MEG Spatial resolution Low Intermediate High Intermediate Temporal resolution High Low Low High Signal-to-Noise Ratio Low Low Intermediate Low Portability High  ... 
arXiv:1905.04149v5 fatcat:sjz3wvw5vvch3ncxnvflgbob3a

Workshops of the Fifth International Brain-Computer Interface Meeting: Defining the Future

Jane E. Huggins, Christoph Guger, Brendan Allison, Charles W. Anderson, Aaron Batista, Anne-Marie Brouwer, Clemens Brunner, Ricardo Chavarriaga, Melanie Fried-Oken, Aysegul Gunduz, Disha Gupta, Andrea Kübler (+7 others)
2014 Brain-Computer Interfaces  
Topics included translation of BCIs into clinical use, standardization and certification, types of brain activity to use for BCI, recording methods, the effects of plasticity, special interest topics in  ...  Here we provide summaries of each workshop, illustrating the breadth and depth of BCI research and highlighting important issues for future research and development.  ...  Recent advances in wearable sensor systems, computational power and methods, and online BCIs may enable applications that were previously impossible.  ... 
doi:10.1080/2326263x.2013.876724 pmid:25485284 pmcid:PMC4255956 fatcat:3buutsooa5bdpnondg3lkss3sa

A Fuzzy Shell for Developing an Interpretable BCI Based on the Spatiotemporal Dynamics of the Evoked Oscillations

Anna Lekova, Ivan Chavdarov, Rodolfo E. Haber
2021 Computational Intelligence and Neuroscience  
We propose a general-purpose fuzzy software system shell for developing a custom EEG BCI system.  ...  It has a potential for designing both passive and event-related BCIs with options for visual representation at scalp-source level in response to time.  ...  BCI2000 [5] is a general-purpose BCI system for different task specific BCI applicable methods.  ... 
doi:10.1155/2021/6685672 pmid:33936191 pmcid:PMC8055434 fatcat:xowmzyifjra3bdbi4of66oziz4

Appropriating Biosensors as Embodied Control Structures in Interactive Music Systems

Luís Aly, Hugo Silva, Gilberto Bernardes, Rui Penha
2021 Human Technology: An Interdisciplinary Journal on Humans in ICT Environments  
We present a scoping review of biosensors appropriation as control structures in interactive music systems (IMSs).  ...  Technical and artistic dimensions promoted by transdisciplinary approaches, ranging from biomedicine to musical performance and interaction design fields, support a taxonomy for biosensor-driven IMSs.  ...  Such devices include the Open-BCI (Durka et al., 2012) and the highly powerful, small, and low-cost biosensing toolkits BITalino (Da Silva et al., 2014) .  ... 
doi:10.17011/ht/urn.202106223978 fatcat:oxh3x4g64faoplzwe3mrkq7bby

2021 Index IEEE Transactions on Instrumentation and Measurement Vol. 70

2021 IEEE Transactions on Instrumentation and Measurement  
The Author Index contains the primary entry for each item, listed under the first author's name.  ...  ., +, TIM 2021 4500609 Muscle Artifact Removal Toward Mobile SSVEP-Based BCI: A Comparative Study.  ...  ., +, TIM 2021 4004709 Muscle Artifact Removal Toward Mobile SSVEP-Based BCI: A Comparative Study.  ... 
doi:10.1109/tim.2022.3156705 fatcat:dmqderzenrcopoyipv3v4vh4ry

EEG-based Neurohaptics Research: A Literature Review

Haneen Alsuradi, Wanjoo Park, Mohamad Eid
2020 IEEE Access  
Lastly, we discuss limitations and provide directions for future neurohaptic research, such as: modeling quality of haptic experience, improving neurohaptic systems and neurohatpics in virtual reality.  ...  Also, we present a case study with the complete flow of conducting neurohaptic research studies.  ...  It remains a challenge to develop a wearable, low-cost, dry electrode EEG monitoring system without compromising the quality of the EEG signal [130] . C.  ... 
doi:10.1109/access.2020.2979855 fatcat:pzfl6puxgzhgfl5vu4hz3xbpqa
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