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EEG-based texture roughness classification in active tactile exploration with invariant representation learning networks

Biomedical Signal Processing and Control(2021)10.1016/j.bspc.2021.102507Source: DataRank Database

EEG-based texture roughness classification in active tactile exploration with invariant representation learning networks is a research paper published in Biomedical Signal Processing and Control (2021). On theSindex it has a DataRank of 0. It has been cited 14 times.

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Open Access14 citations

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Linked data & code

EEG-based Texture Roughness Classification in Active Tactile Exploration with Invariant Representation Learning Networks · arXiv

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (17 grants)Impact (FWCI 0.95)OA: bronzeTopics (36)Linked Datasets (1)DataCite Reuse (1)IDs (PubMed, PMC, OpenAlex)SDGs (1)

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Context only (not used in score)

Findable (2/2)

Has DOI
Indexed in repositories

Accessible (1/2)

Open Access

Interoperable (2/2)

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Reusable (0/3)

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Authors (5)

Safaa Eldeeb ORCID,Andaç Demir ORCID,Deniz Erdoğmuş ORCID,Murat Akçakaya ORCID,Ozan Özdenizci ORCID

Live enrichment

PubMed:33927780 PMC:PMC8078850 OpenAlex:https://openalex.org/W3129679525

National Science Foundation

Grant: CBET-1804550

National Science Foundation

Grant: CPS-1544895

National Science Foundation

Grant: IIS-1715858

National Science Foundation

Grant: IIS-1717654

National Science Foundation

Grant: IIS-1844885

National Science Foundation

Grant: IIS-1915083

National Science Foundation

Grant: M3X-20040457

National Institutes of Health

Grant: 2R01DC009834

NIDCD NIH HHS

Grant: R01 DC009834

National Institutes of Health

Grant: 5R01DC009834-14

Optimizing BCI-FIT: Brain Computer Interface - Functional Implementation Toolkit

National Science Foundation

Grant: 1915083

SCH: INT: Collaborative Research: Detection, Assessment and Rehabilitation of Stroke-Induced Visual Neglect Using Augmented Reality (AR) and Electroencephalography (EEG)

National Science Foundation

Grant: 1804550

Collaborative Proposal: Understanding Motor Cortical Organization through Engineering Innovation to TMS-Based Brain Mapping

National Science Foundation

Grant: 1717654

CHS: Small: Collaborative Research: EEG-Guided Electrical Stimulation for Immersive Virtual Reality

National Science Foundation

Grant: 1544895

CPS: TTP Option: Synergy: Collaborative Research: Nested Control of Assistive Robots through Human Intent Inference

National Science Foundation

Grant: 1844885

CAREER: Towards a Biologically Informed Intervention for Emotionally Dysregulated Adolescents and Adults with Autism Spectrum Disorder

National Science Foundation

Grant: 1715858

CHS: Small: Collaborative Research: EEG-Guided Electrical Stimulation for Immersive Virtual Reality

National Institutes of Health

Grant: 3R01DC009834-10S1

Ethical Considerations for Language Modeling within Brain-Computer Interfaces

FWCI

0.95

Citation Percentile

0.7%

Citation Trend

2021

2022

2023

2024

2025

2026

bronzeLicense: Elsevier TDM

journalhttps://www.sciencedirect.com/science/article/am/pii/S174680942100104X

publisherhttps://www.sciencedirect.com/science/article/am/pii/S174680942100104X

publisherhttps://api.elsevier.com/content/article/PII:S174680942100104X?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S174680942100104X?httpAccept=text/plain

journalhttps://doi.org/10.1016/j.bspc.2021.102507

Fields of Study

EEG and Brain-Computer InterfacesTactile and Sensory InteractionsNeural and Behavioral Psychology Studies03 medical and health sciences0302 clinical medicine05 social sciences0501 psychology and cognitive sciences

Keywords

Computer scienceElectroencephalographyArtificial intelligenceSensory systemGRASPPerceptionPattern recognition (psychology)Invariant (physics)Computer visionPsychologyCognitive psychologyNeuroscienceMathematicsEEGNeural networksHapticsDeep LearningInvariant RepresentationsAdversarial LearningActive Tactile ExplorationTexture RoughnessSignal Processing (eess.SP)FOS: Computer and information sciencesComputer Science - Machine LearningComputer Science - Human-Computer InteractionFOS: Electrical engineering, electronic engineering, information engineeringElectrical Engineering and Systems Science - Signal ProcessingHuman-Computer Interaction (cs.HC)Machine Learning (cs.LG)

Sustainable Development Goals

SDG 0: Reduced inequalities

EEG-based Texture Roughness Classification in Active Tactile Exploration with Invariant Representation Learning Networks

10.48550/arxiv.2102.08976arXiv