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Online Adaptation of a c-VEP Brain-Computer Interface(BCI) Based on Error-Related Potentials and Unsupervised Learning

Martin Spüler, Wolfgang Rosenstiel, Martin Bogdan, Mathias Baumert
2012 PLoS ONE  
In addition we show that a calibration of the BCI system solely based on the detection of error-related potentials is possible, without knowing the true class labels.  ...  We compare two different approaches for online adaptation of the system: an unsupervised method and a method that uses the detection of error-related potentials.  ...  In addition we show that a calibration of the BCI-system solely based on the detection of ErrPs is possible.  ... 
doi:10.1371/journal.pone.0051077 pmid:23236433 pmcid:PMC3517594 fatcat:xehowc73jjgpfnn3wwjkjqlzzi

A Review of Error-Related Potential based Brain-Computer Interfaces for Motor Impaired People

Akshay Kumar, Lin Gao, Elena Pirogova, Qiang Fang
2019 IEEE Access  
In the last two decades, a great deal of research has focused on error-related potential (ErrP) based brain-computer interfaces (BCIs).  ...  In this paper, we present a review of various ErrP based BCI that can potentially aid motor-disabled people in their rehabilitation and execution of their daily activities.  ...  [103] reduced the number of repetitions in P300 BCI speller to increase the error rates in spelling a character to achieve more error trials.  ... 
doi:10.1109/access.2019.2944067 fatcat:zheq4vyadzh5hjtxavftcvpxh4

Latency correction of event-related potentials between different experimental protocols

I Iturrate, R Chavarriaga, L Montesano, J Minguez, JdR Millán
2014 Journal of Neural Engineering  
In this work, we analyze the effect of the amplitude and the latency variations among different experimental protocols based on the same type of ERP.  ...  The algorithm has been tested on two widely used ERPs (P300 and observation error potentials), in three experimental protocols in each case.  ...  for the generalization of BCI decoders, reducing in this way the calibration time when facing a new experimental protocol.  ... 
doi:10.1088/1741-2560/11/3/036005 pmid:24743234 fatcat:jhz2jb5jdrdphpfkl3aqjjqki4

Active inference as a unifying, generic and adaptive framework for a P300-based BCI

Jelena Mladenovic, Jérémy Frey, Mateus Joffily, Emmanuel Maby, Fabien Lotte, Jeremie Mattout
2019 Journal of Neural Engineering  
We demonstrate AI as a unifying and generic framework to implement a flexible interaction behaviour in a given BCI context.  ...  This takes the form of a discrete input-output state-space model establishing the link between the machine's (i) observations-a P300 or error potential for instance, (ii) representations-of the user intentions  ...  ACKNOWLEDGMENT Experiments presented in this paper were carried out using the PlaFRIM experimental testbed,  ... 
doi:10.1088/1741-2552/ab5d5c pmid:31783392 fatcat:krm3pgyckfcqteqypukp3y7yuu

An Error Aware Ssvep-Based Bci

Fotis Kalaganis, Elisavet Chatzilari, Kostas Georgiadis, Spiros Nikolopoulos, Nikos Laskaris, Yiannis Kompatsiaris
2017 Zenodo  
In our study we investigate the contribution of ErrPs in a Steady State Visual Evoked Potential (SSVEP) based BCI.  ...  Error-Related Potentials (ErrPs) have been used lately in order to improve several existing Brain-Computer Interface (BCI) applications.  ...  In the same direction, the authors of [18] took advantage of neural correlations with error awareness so as to achieve higher ITR in a P300 based BCI.  ... 
doi:10.5281/zenodo.583386 fatcat:f6qbo4syfrgv3lessjsjzomn44

Exploiting Task Constraints for Self-Calibrated Brain-Machine Interface Control Using Error-Related Potentials

Iñaki Iturrate, Jonathan Grizou, Jason Omedes, Pierre-Yves Oudeyer, Manuel Lopes, Luis Montesano, Mikhail A. Lebedev
2015 PLoS ONE  
This paper presents a new approach for self-calibration BCI for reaching tasks using errorrelated potentials.  ...  The method has been evaluated in closed-loop online experiments with 8 users using a previously proposed BCI protocol for reaching tasks over a grid.  ...  Millán for their comments and help. Author Contributions  ... 
doi:10.1371/journal.pone.0131491 pmid:26131890 pmcid:PMC4488878 fatcat:2j4tk7kg25djvbyzspivwzrnoi

Feedback Related Potentials for EEG-Based Typing Systems

Paula Gonzalez-Navarro, Basak Celik, Mohammad Moghadamfalahi, Murat Akcakaya, Melanie Fried-Oken, Deniz Erdoğmuş
2022 Frontiers in Human Neuroscience  
Error related potentials (ErrP), which are elicited in the EEG in response to a perceived error, have been used for error correction and adaption in the event related potential (ERP)-based brain computer  ...  Early approaches to use ErrP in the design of typing interfaces attempt to make hard decisions on the perceived error such that the perceived error is corrected and either the sequence of stimuli are repeated  ...  Objective and subjective evaluation of online error correction during p300-based spelling. Adv. Human Comput.  ... 
doi:10.3389/fnhum.2021.788258 pmid:35145386 pmcid:PMC8821166 fatcat:a55xzb435bbhli6mum5lqvczpe

Invariance and variability in interaction error-related potentials and their consequences for classification

Mohammad Abu-Alqumsan, Christoph Kapeller, Christoph Hintermüller, Christoph Guger, Angelika Peer
2017 Journal of Neural Engineering  
This paper discusses the invariance and variability in interaction error-related potentials (ErrPs), where a special focus is laid upon the factors of (1) the human mental processing required to assess  ...  The obtained results may be used to explain acrossstudy variability of ErrPs, as well as to define guidelines for approaches to the ErrP classifier transferability problem.  ...  Acknowledgments This work is supported in part by the VERE project  ... 
doi:10.1088/1741-2552/aa8416 pmid:28776500 fatcat:2w7q6wrryzbe5oqfsfb3zm2dra

Design and Evaluation of a Self-Correcting Gesture Interface based on Error Potentials from EEG

Felix Putze, Christoph Amma, Tanja Schultz
2015 Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems - CHI '15  
In this work, we describe the design of such a selfcorrecting gesture interface, implement different strategies to deal with detected errors, use a simulation approach to analyze performance and costs  ...  The automatic detection of error potentials in electroencephalographic data recorded from a user allows the system to detect such states of confusion and automatically bring the interaction back on track  ...  [2] showed how they can detect ErrPs during operation of a P300 speller BCI.  ... 
doi:10.1145/2702123.2702184 dblp:conf/chi/PutzeAS15 fatcat:tzthdbow3jdd3dht3fggxvejbq

Development of a hybrid mental spelling system combining SSVEP-based brain–computer interface and webcam-based eye tracking

Jeong-Hwan Lim, Jun-Hak Lee, Han-Jeong Hwang, Dong Hwan Kim, Chang-Hwan Im
2015 Biomedical Signal Processing and Control  
a hybrid mental speller that can effectively prevent unexpected typing errors in the steady-state visual evoked potential (SSVEP)-based mental speller by simultaneously using the information of eye-gaze  ...  When the character detected by the SSVEP-based mental speller was located in the direction opposite the eye-gaze direction, the character was not typed at all (a beep sound was generated instead), and  ...  Acknowledgements This work was supported in part by the National Research  ... 
doi:10.1016/j.bspc.2015.05.012 fatcat:4bqzoj6v7jgvxnkdpp3azbpcty

Passive Brain-Computer Interfaces for Enhanced Human-Robot Interaction

Maryam Alimardani, Kazuo Hiraki
2020 Frontiers in Robotics and AI  
Particularly in the field of robotics, passive BCIs provide a promising channel for prediction of user's cognitive and affective state for development of a user-adaptive interaction.  ...  However, recent trends in the BCI and neurofeedback research highlight passive monitoring of a user's brain activity in order to estimate cognitive load, attention level, perceived errors and emotions.  ...  Additionally, recent efforts suggest that different kinds of errors generate different ErrPs, allowing discrimination of error severity and error types (Spüler and Niethammer, 2015; Wirth et al., 2019  ... 
doi:10.3389/frobt.2020.00125 pmid:33501291 pmcid:PMC7805996 fatcat:6y3m5wdylbdw5jmjyag5bqjvqi

Single-Trial Classification of Error-Related Potentials in People with Motor Disabilities; A Study in Cerebral Palsy, Stroke, and Amputees

Nayab Usama, Imran Khan Niazi, Kim Dremstrup, Mads Jochumsen
2022 Sensors  
In conclusion, ErrPs can be detected in participants with motor impairments; this may have implications for developing adaptive BCIs or automatic error correction.  ...  The aim of this study was to detect ErrPs from single-trial EEG in offline analysis in participants with cerebral palsy, an amputation, or stroke, and determine how much discriminative information different  ...  Another application of ErrPs within BCI is error correction, where an erroneous action of the BCI, e.g., in a P300 speller or movement of a robotic arm, can be detected and the incorrect action can be  ... 
doi:10.3390/s22041676 pmid:35214576 pmcid:PMC8879227 fatcat:putcc5sfxbdyrdfek2t2jg5s2q

Online asynchronous decoding of error-related potentials during the continuous control of a robot

Catarina Lopes-Dias, Andreea I Sburlea, Gernot R Müller-Putz
2019 Scientific Reports  
The incorporation of ErrPs in discrete BCIs is well established but the study of asynchronous detection of ErrPs is still in its early stages.  ...  Error-related potentials (ErrPs) are the neural signature of error processing.  ...  Kobler and Valeria Mondini for the fruitful discussions during the preparation of the experiment and to Lea Hehenberger and Marcel Zube for the help during the measurements.  ... 
doi:10.1038/s41598-019-54109-x pmid:31772232 pmcid:PMC6879530 fatcat:is6epqr3pzbsrgupxyylfbthna

A review of classification algorithms for EEG-based brain–computer interfaces: a 10 year update

F Lotte, L Bougrain, A Cichocki, M Clerc, M Congedo, A Rakotomamonjy, F Yger
2018 Journal of Neural Engineering  
This means that people who make errors in the initial BCI task (here a P300), for whom error correction and ErrP-based adaptation would be the most useful, have a lesser chance that the ErrP will be correctly  ...  the performance of sensori-motor rhythms (SMR)based BCI, but not of the P300-based BCI speller [160] .  ... 
doi:10.1088/1741-2552/aab2f2 pmid:29488902 fatcat:7brd44bmqnegzov6mi4idtwjbi

Cortical Topography of Error-Related High-Frequency Potentials During Erroneous Control in a Continuous Control Brain–Computer Interface

Nile R. Wilson, Devapratim Sarma, Jeremiah D. Wander, Kurt E. Weaver, Jeffrey G. Ojemann, Rajesh P. N. Rao
2019 Frontiers in Neuroscience  
We present topographical changes in HBP characteristic specific to the generation of error.  ...  Cortical responses elicited from user error have the potential to serve as state-based feedback to BCI decoders.  ...  With online ErrP monitoring, future cortical BCI can infer BCI performance without explicit task information, allowing for automatic adaptation of the system based on estimated performance.  ... 
doi:10.3389/fnins.2019.00502 pmid:31191218 pmcid:PMC6541115 fatcat:hbzqc4ov35go5ah6bvvl2n3dxi
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