A Novel P300-Speller Error Detection Approach in Brain-Computer Interface

Bahrami Rad, Ali ;   Zabihi, Morteza ;   Katsaggelos, Aggelos ;   Kiranyaz, Serkan ;   Gabbouj, Moncef

Tags Brain-computer/machine interface

The ability to recognize errors in P300-based speller provides potential enhancement in communicating of patients with neuromuscular handicap....

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Automated Time and Frequency Domain Feature Generation with Cross Validation

Kim, Michael

Tags Brain functional imaging

We present a practical feature generation method for time series data. This method is applied to Kaggle's BCI Challenge dataset to predict...

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BCI Challenge: Error Potential Detection with Cross-Subject Generalization

Barrack, Duncan Stuart

Tags Human performance - Modelling and prediction

This contribution is the winning entry to the brain computer interface P-300 speller competition hosted on the Data Science platform Kaggle....

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Characterize Differences between Frustration and Contentment to Analyze Errors in Brain-Computer Interfaces

Guttmann-Flury, Eva ;   Sheng, Xinjun ;   Zhang, Dingguo ;   Zhu, Xiangyang

Tags Brain-computer/machine interfaceBrain functional imaging - EEGBrain-computer/machine interface - Biofeedback

Current Brain-Computer Interfaces mostly use P300, Visual Evoked Potential (VEP), Slow Cortical Potential (SCP) or Sensorimotor rhythms as...

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Error Potential Detection with Cross-Subject Generalization via Genetic Programming

Poli, Riccardo ;   Valeriani, Davide ;   Matran-Fernandez, Ana ;   Citi, Luca

Tags Neural signal processingBrain physiology and modeling - Neuron modeling and simulation

The BCI Challenge NER 2015 competition held on Kaggle entailed detecting the errors made by participants using a BCI speller upon presentation...

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Exploring Capacities of SDAs and GBMs in BCI Environments

Diaz-Morales, Roberto ;   Omari, Adil, Aomari ;   Choquehuanca-Zevallos, Juan José ;   García-Hinde, Oscar

Tags Brain-computer/machine interfaceBrain-computer/machine interface - Biofeedback

This paper explores the benefits of using Stacking Denoising Autoencoders (SDAs) and Gradient Boosting Machines (GBMs) in problems where...

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Principal Component Analysis Ensemble Classifier with Linear Discriminant Weighting for Error Potential Detection

Elsawy, Amr S. ;   Eldawlatly, Seif

Tags Brain-computer/machine interfaceHuman performance

Error potential is an Event Related Potential (ERP) that is evoked after the subject is presented with an erroneous response relative to...

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Recognition of Error Potentials by Transfer Learning using High Dimensional Feature Spaces and Joint Optimization

Heger, Dominic ;   Herff, Christian ;   Schultz, Tanja

Tags Brain-computer/machine interfaceNeural signal processing

We present our system for detecting error potentials in the BCI Challenge organized as part of the 7th International IEEE EMBS Neural...

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