MindEdit: A P300-based text editor for mobile devices

Elsawy, Amr; Eldawlatly, Seif; Taher, Mohamed; Aly, Gamal M.

doi:10.1016/j.compbiomed.2016.11.014

Cited by 17 publications

(10 citation statements)

References 31 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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“…In recent years, several P300-BCI related studies have been undertaken. Some of them chose the OpenBCI platform, particularly due to its flexibility [68,69], others preferred the applications of Emotiv [69,70], and in [71], the authors analyzed both systems. A common thread of the research was to provide more user-friendly practical applications.…”

Section: Brain-computer Interfacementioning

confidence: 99%

Wireless Sensors for Brain Activity—A Survey

et al. 2020

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Over the last decade, the area of electroencephalography (EEG) witnessed a progressive move from high-end large measurement devices, relying on accurate construction and providing high sensitivity, to miniature hardware, more specifically wireless wearable EEG devices. While accurate, traditional EEG systems need a complex structure and long periods of application time, unwittingly causing discomfort and distress on the users. Given their size and price, aside from their lower sensitivity and narrower spectrum band(s), wearable EEG devices may be used regularly by individuals for continuous collection of user data from non-medical environments. This allows their usage for diverse, nontraditional, non-medical applications, including cognition, BCI, education, and gaming. Given the reduced need for standardization or accuracy, the area remains a rather incipient one, mostly driven by the emergence of new devices that represent the critical link of the innovation chain. In this context, the aim of this study is to provide a holistic assessment of the consumer-grade EEG devices for cognition, BCI, education, and gaming, based on the existing products, the success of their underlying technologies, as benchmarked by the undertaken studies, and their integration with current applications across the four areas. Beyond establishing a reference point, this review also provides the critical and necessary systematic guidance for non-medical EEG research and development efforts at the start of their investigation.

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“…BCI opens a new way for the people with severe physical disabilities [21] to access to the Internet, which could be a life changing for them as the Internet provides capabilities for education, communication, and even employment [19]. Communication application has been introduced to Android platform in terms of text editor in [22] by stimulating the user brain visually using Visual Evoked Potential technique to allow the user to compose a text message by selecting the desired letter from all the alphabets just by looking at a flashing letters on the Android device screen.…”

Section: Visual Evoked Potentialmentioning

confidence: 99%