An Intermixed Color Paradigm for P300 Spellers: A Comparison with Gray-Scale Spellers

Meshriky, Mina R.; Eldawlatly, Seif; Aly, Gamal M.

doi:10.1109/cbms.2017.123

Cited by 8 publications

(6 citation statements)

References 16 publications

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“…One of the most basic applications of BCIs for people with disabilities used for communication purposes, where users using their brain activity choose appropriate letter [192][193][194][195].…”

Section: Description Source Data Analysis Methods Spelling Applicationsmentioning

confidence: 99%

Summary of over Fifty Years with Brain-Computer Interfaces—A Review

et al. 2021

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Over the last few decades, the Brain-Computer Interfaces have been gradually making their way to the epicenter of scientific interest. Many scientists from all around the world have contributed to the state of the art in this scientific domain by developing numerous tools and methods for brain signal acquisition and processing. Such a spectacular progress would not be achievable without accompanying technological development to equip the researchers with the proper devices providing what is absolutely necessary for any kind of discovery as the core of every analysis: the data reflecting the brain activity. The common effort has resulted in pushing the whole domain to the point where the communication between a human being and the external world through BCI interfaces is no longer science fiction but nowadays reality. In this work we present the most relevant aspects of the BCIs and all the milestones that have been made over nearly 50-year history of this research domain. We mention people who were pioneers in this area as well as we highlight all the technological and methodological advances that have transformed something available and understandable by a very few into something that has a potential to be a breathtaking change for so many. Aiming to fully understand how the human brain works is a very ambitious goal and it will surely take time to succeed. However, even that fraction of what has already been determined is sufficient e.g., to allow impaired people to regain control on their lives and significantly improve its quality. The more is discovered in this domain, the more benefit for all of us this can potentially bring.

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Section: Description Source Data Analysis Methods Spelling Applicationsmentioning

confidence: 99%

Summary of over Fifty Years with Brain-Computer Interfaces—A Review

et al. 2021

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“…Jijun et al [42] used an Emotiv to capture P300 components and created a hands-free dialling system. Indeed, one of the most frequently observed applications of consumer-grade EEG is in P300 speller paradigms [43][44][45][46][47]. To illustrate, a matrix of letters is shown to an observer.…”

Section: Brain-computer Interfacesmentioning

confidence: 99%

A scoping review on the use of consumer-grade EEG devices for research

Sabio

Williams

McArthur

et al. 2022

Preprint

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BACKGROUND: Commercial electroencephalography (EEG) devices have become increasingly available over the last decade. These devices have been used in a wide variety of fields ranging from engineering to cognitive neuroscience. PURPOSE: The aim of this study was to chart peer-review articles that used currently available consumer-grade EEG devices to collect neural data. We provide an overview of the research conducted with these relatively more affordable and user-friendly devices. We also inform future research by exploring the current and potential scope of consumer-grade EEG. METHODS: We followed a five-stage methodological framework for a scoping review that included a systematic search using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews (PRISMA-ScR) guidelines. We searched the following electronic databases: PsycINFO, MEDLINE, Embase, Web of Science, and IEEE Xplore. We charted study data according to application (BCI, experimental research, validation, signal processing, and clinical) and location of use as indexed by the first author's country. RESULTS: We identified 916 studies that used data recorded with consumer-grade EEG: 531 were reported in journal articles and 385 in conference papers. Emotiv devices were most used, followed by the NeuroSky MindWave, OpenBCI, interaXon Muse, and MyndPlay Mindband. The most common use was for brain-computer interfaces, followed by experimental research, signal processing, validation, and clinical purposes. CONCLUSIONS: Consumer-grade EEG has proven to be a useful tool for neuroscientific research and will likely continue to be used well into the future. Our study provides a comprehensive review of their application, as well as future directions for researchers who wish to use these devices.

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“…The significant features for classification are extracted either by eliminating irrelevant and redundant data points or by identifying and selecting data points containing critical information. In most of the literature we have surveyed, epoch averaging (with or without PCA/ICA) was used for extracting features, while in some works discrete wavelet transform (DWT), 47,[49][50][51][52][53] channel correlation analysis (CCA), 54 artificial neural networks (ANNs), 55 and phase synchronization 56 were used.…”

Section: Process Flowmentioning

confidence: 99%

“…In VP3S implementations, FLDA algorithm exhibited good accuracy and fast response while discriminating the “target” and the “nontarget” signals. 53,65 However, it failed in cases where the size of feature set is larger than that of the training set since the resulting within-class scatter matrix is singular. To overcome this problem, Hoffmann et al 66 replaced the inverse of within-class scatter matrix in Equation (5) with the Moore-Penrose pseudo-inverse.…”

Section: Classification Algorithmsmentioning

confidence: 99%

“…A VP3S based on linear SVM for efficient word typing was developed by Akram et al 81 This system was able to achieve better typing speed (average typing time of 1.19 min/word) compared to a conventional speller (average typing time of 3.36 min/word). A spelling correction method based on weighted edit distance of a misspelled word to its correct entry in an in-built dictionary was introduced by Chaurasiya et al 48 The work of Meshriky et al 53 reported consistently good performance for their VP3S using DWT and linear SVM classifier in an intermixed color display. Kabbara et al 56 have used phase locking value (PLV), which quantify the phase synchronization between different functional areas of the brain, as the feature in their VP3S.…”

Section: Classification Algorithmsmentioning

confidence: 99%

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Visual P300 Mind-Speller Brain-Computer Interfaces: A Walk Through the Recent Developments With Special Focus on Classification Algorithms

Philip

George

2019

Clin EEG Neurosci

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Brain-computer interfaces are sophisticated signal processing systems, which directly operate on neuronal signals to identify specific human intents. These systems can be applied to overcome certain disabilities or to enhance the natural capabilities of human beings. The visual P300 mind-speller is a prominent one among them, which has opened up tremendous possibilities in movement and communication applications. Today, there exist many state-of-the-art visual P300 mind-speller implementations in the literature as a result of numerous researches in this domain over the past 2 decades. Each of these systems can be evaluated in terms of performance metrics like classification accuracy, information transfer rate, and processing time. Various classification techniques associated with these systems, which include but are not limited to discriminant analysis, support vector machine, neural network, distance-based and ensemble of classifiers, have major roles in determining the overall system performances. The significance of a proper review on the recent developments in visual P300 mind-spellers with proper emphasis on their classification algorithms is the key insight for this work. This article is organized with a brief introduction to P300, concepts of visual P300 mind-spellers, the survey of literature with special focus on classification algorithms, followed by the discussion of various challenges and future directions.

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An Intermixed Color Paradigm for P300 Spellers: A Comparison with Gray-Scale Spellers

Cited by 8 publications

References 16 publications

Summary of over Fifty Years with Brain-Computer Interfaces—A Review

Summary of over Fifty Years with Brain-Computer Interfaces—A Review

A scoping review on the use of consumer-grade EEG devices for research

Visual P300 Mind-Speller Brain-Computer Interfaces: A Walk Through the Recent Developments With Special Focus on Classification Algorithms

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