Frontiers in Human Neuroscience | Brain-Computer Interfaces

Original Research

Published on 29 Feb 2024

Lattice layout and optimizer effect analysis for generating optimal transcranial electrical stimulation (tES) montages through the metaheuristic L1L1 method

in Brain-Computer Interfaces

Fernando Galaz Prieto
Maryam Samavaki
Sampsa Pursiainen

Frontiers in Human Neuroscience

doi 10.3389/fnhum.2024.1201574

1,249 views

Brief Research Report

Published on 26 Feb 2024

A method for synchronized use of EEG and eye tracking in fully immersive VR

in Brain-Computer Interfaces

Olav F. P. Larsen
William G. Tresselt
Emanuel A. Lorenz
Tomas Holt
Grethe Sandstrak
Tor I. Hansen
Xiaomeng Su
Alexander Holt

Frontiers in Human Neuroscience

doi 10.3389/fnhum.2024.1347974

6,613 views
8 citations

Editorial

Published on 21 Feb 2024

Editorial: Immersive technology and ambient intelligence for assistive living, medical, and healthcare solutions

in Brain-Computer Interfaces

Omneya Attallah
Ahmad Al-Kabbany
Shaza B. Zaghlool
Mohamed Kholief

Frontiers in Human Neuroscience

doi 10.3389/fnhum.2024.1376959

2,314 views
1 citation

Original Research

Published on 20 Feb 2024

AFM signal model for dysarthric speech classification using speech biomarkers

in Brain-Computer Interfaces

Shaik Mulla Shabber
Eratt Parameswaran Sumesh

Frontiers in Human Neuroscience

doi 10.3389/fnhum.2024.1346297

3,019 views
4 citations

Original Research

Published on 16 Feb 2024

Unleashing the potential of fNIRS with machine learning: classification of fine anatomical movements to empower future brain-computer interface

in Brain-Computer Interfaces

Haroon Khan
Rabindra Khadka
Malik Shahid Sultan
Anis Yazidi
Hernando Ombao
Peyman Mirtaheri

Frontiers in Human Neuroscience

doi 10.3389/fnhum.2024.1354143

3,800 views
5 citations

Review

Published on 16 Feb 2024

Analyzing and computing humans by means of the brain using Brain-Computer Interfaces - understanding the user – previous evidence, self-relevance and the user’s self-concept as potential superordinate human factors of relevance

in Brain-Computer Interfaces

Cornelia Herbert

Frontiers in Human Neuroscience

doi 10.3389/fnhum.2023.1286895

3,233 views
5 citations

Systematic Review

Published on 14 Feb 2024

A systematic review of EEG based automated schizophrenia classification through machine learning and deep learning

in Brain-Computer Interfaces

Jagdeep Rahul
Diksha Sharma
Lakhan Dev Sharma
Umakanta Nanda
Achintya Kumar Sarkar

Frontiers in Human Neuroscience

doi 10.3389/fnhum.2024.1347082

7,807 views
18 citations

Original Research

Published on 12 Feb 2024

How to assess the accuracy of volume conduction models? A validation study with stereotactic EEG data

in Brain-Computer Interfaces

Maria Carla Piastra
Robert Oostenveld
Simon Homölle
Biao Han
Qi Chen
Thom Oostendorp

Frontiers in Human Neuroscience

doi 10.3389/fnhum.2024.1279183

2,336 views
2 citations

Original Research

Published on 01 Feb 2024

A comprehensive dataset for home appliance control using ERP-based BCIs with the application of inter-subject transfer learning

in Brain-Computer Interfaces

Jongmin Lee
Minju Kim
Dojin Heo
Jongsu Kim
Min-Ki Kim
Taejun Lee
Jongwoo Park
HyunYoung Kim
Minho Hwang
Laehyun Kim

Frontiers in Human Neuroscience

doi 10.3389/fnhum.2024.1320457

3,762 views
3 citations

Data Report

Published on 22 Jan 2024

EEG and EMG dataset for the detection of errors introduced by an active orthosis device

in Brain-Computer Interfaces

Niklas Kueper
Kartik Chari
Judith Bütefür
Julia Habenicht
Tobias Rossol
Su Kyoung Kim
Marc Tabie
Frank Kirchner
Elsa Andrea Kirchner

Frontiers in Human Neuroscience

doi 10.3389/fnhum.2024.1304311

3,593 views
4 citations

Original Research

Published on 22 Jan 2024

Advanced framework for epilepsy detection through image-based EEG signal analysis

in Brain-Computer Interfaces

Palani Thanaraj Krishnan
Sudheer Kumar Erramchetty
Bhanu Chander Balusa

Frontiers in Human Neuroscience

doi 10.3389/fnhum.2024.1336157

4,501 views
6 citations

Original Research

Published on 08 Jan 2024

Real-world characterization of vestibular contributions during locomotion

in Brain-Computer Interfaces

Liam H. Foulger
Jesse M. Charlton
Jean-Sébastien Blouin

Frontiers in Human Neuroscience

doi 10.3389/fnhum.2023.1329097

2,701 views
1 citation

Review

Published on 05 Jan 2024

Community mobility and participation assessment of manual wheelchair users: a review of current techniques and challenges

in Brain-Computer Interfaces

Grace Fasipe
Maja Goršič
Mohammad Habibur Rahman
Jacob Rammer

Frontiers in Human Neuroscience

doi 10.3389/fnhum.2023.1331395

4,807 views
4 citations

Original Research

Published on 07 Dec 2023

Multi-domain feature joint optimization based on multi-view learning for improving the EEG decoding

in Brain-Computer Interfaces

Bin Shi
Zan Yue
Shuai Yin
Junyang Zhao
Jing Wang

Frontiers in Human Neuroscience

doi 10.3389/fnhum.2023.1292428

2,357 views
1 citation

Editorial

Published on 05 Dec 2023

Editorial: Advances in artificial intelligence (AI) in brain computer interface (BCI) and Industry 4.0 for human machine interaction (HMI)

in Brain-Computer Interfaces

Umer Asgher
Yasar Ayaz
Redha Taiar

Frontiers in Human Neuroscience

doi 10.3389/fnhum.2023.1320536

4,179 views
7 citations

Editorial

Published on 29 Nov 2023

Editorial: Global excellence in brain-computer interfaces: Europe

in Brain-Computer Interfaces

Andrej M. Savić
Pietro Aricò

Frontiers in Human Neuroscience

doi 10.3389/fnhum.2023.1333272

2,035 views