ArticleFrontiers in neuroscience2011
A Novel 9-Class Auditory ERP Paradigm Driving a Predictive Text Entry System.
Article in Frontiers in neuroscience, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.
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Who cites it
50 citing papers in PubMed.
- The ASME-speller: 30-class auditory brain-computer interface speller using stream segregation and the QWERTY layout.Frontiers in human neuroscience · 2026Article
- EEG dynamic source imaging using a regularized optimization with spatio-temporal constraints.Medical & biological engineering & computing · 2024Article
- An auditory brain-computer interface based on selective attention to multiple tone streams.PloS one · 2024Article
- Four-class ASME BCI: investigation of the feasibility and comparison of two strategies for multiclassing.Frontiers in human neuroscience · 2024Article
- Design of auditory P300-based brain-computer interfaces with a single auditory channel and no visual support.Cognitive neurodynamics · 2023Article
- Target of selective auditory attention can be robustly followed with MEG.Scientific reports · 2023Article
- Imagined Speech Classification Using EEG and Deep Learning.Bioengineering (Basel, Switzerland) · 2023Article
- A novel brain-computer interface based on audio-assisted visual evoked EEG and spatial-temporal attention CNN.Frontiers in neurorobotics · 2022Article
- Advances in P300 brain-computer interface spellers: toward paradigm design and performance evaluation.Frontiers in human neuroscience · 2022Review
- Aphasia recovery by language training using a brain-computer interface: a proof-of-concept study.Brain communications · 2022Article
- Theoretical Perspective on an Ideomotor Brain-Computer Interface: Toward a Naturalistic and Non-invasive Brain-Computer Interface Paradigm Based on Action-Effect Representation.Frontiers in human neuroscience · 2021Article
- Optimising non-invasive brain-computer interface systems for free communication between naïve human participants.Scientific reports · 2019Article
- Analysis of Prefrontal Single-Channel EEG Data for Portable Auditory ERP-Based Brain-Computer Interfaces.Frontiers in human neuroscience · 2019Article
- The performance of 9-11-year-old children using an SSVEP-based BCI for target selection.Journal of neural engineering · 2018Article
- Brain-Computer Interface Spellers: A Review.Brain sciences · 2018Review
- Eyes-Closed Increases the Usability of Brain-Computer Interfaces Based on Auditory Event-Related Potentials.Frontiers in human neuroscience · 2018Article
- Psychological Predictors of Visual and Auditory P300 Brain-Computer Interface Performance.Frontiers in neuroscience · 2018Article
- EEG-assisted Modulation of Sound Sources in the Auditory Scene.Biomedical signal processing and control · 2018Article
- Recursive Bayesian Coding for BCIs.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2017Article
- Circadian course of the P300 ERP in patients with amyotrophic lateral sclerosis - implications for brain-computer interfaces (BCI).BMC neurology · 2017Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Brain-computer interfaces (BCIs) based on event related potentials (ERPs) strive for offering communication pathways which are independent of muscle activity. While most visual ERP-based BCI paradigms require good control of the user's gaze direction, auditory BCI paradigms overcome this restriction. The present work proposes a novel approach using auditory evoked potentials for the example of a multiclass text spelling application. To control the ERP speller, BCI users focus their attention to two-dimensional auditory stimuli that vary in both, pitch (high/medium/low) and direction (left/middle/right) and that are presented via headphones. The resulting nine different control signals are exploited to drive a predictive text entry system. It enables the user to spell a letter by a single nine-class decision plus two additional decisions to confirm a spelled word. This paradigm - called PASS2D - was investigated in an online study with 12 healthy participants. Users spelled with more than 0.8 characters per minute on average (3.4 bits/min) which makes PASS2D a competitive method. It could enrich the toolbox of existing ERP paradigms for BCI end users like people with amyotrophic lateral sclerosis disease in a late stage.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.