Home care by auditory Brain Computer Interface for the blind with severe physical disabilities

Hsieh, K. L.; Sun, Koun-Tem; Yeh, Jyh-haw; Pan, Yi‐Cong

doi:10.1109/icasi.2017.7988473

Cited by 9 publications

(8 citation statements)

References 6 publications

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“…Commercial or everyday devices are not adapted to be controlled directly through a BCI system. Three of the mentioned papers implemented an interaction with a smartphone [ 20 , 22 , 25 ], and the three used Bluetooth to send control commands from the BCI to the smartphone. In [ 20 , 25 ] authors connected an Arduino Bluetooth module to a computer to send the commands and installed a custom-made application in the smartphone to receive and interpret these commands.…”

Section: Introductionmentioning

confidence: 99%

Brain–Computer Interface (BCI) Control of a Virtual Assistant in a Smartphone to Manage Messaging Applications

Velasco-Álvarez

Fernández-Rodríguez

Vizcaíno-Martín

et al. 2021

Sensors

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Brain–computer interfaces (BCI) are a type of assistive technology that uses the brain signals of users to establish a communication and control channel between them and an external device. BCI systems may be a suitable tool to restore communication skills in severely motor-disabled patients, as BCI do not rely on muscular control. The loss of communication is one of the most negative consequences reported by such patients. This paper presents a BCI system focused on the control of four mainstream messaging applications running in a smartphone: WhatsApp, Telegram, e-mail and short message service (SMS). The control of the BCI is achieved through the well-known visual P300 row-column paradigm (RCP), allowing the user to select control commands as well as spelling characters. For the control of the smartphone, the system sends synthesized voice commands that are interpreted by a virtual assistant running in the smartphone. Four tasks related to the four mentioned messaging services were tested with 15 healthy volunteers, most of whom were able to accomplish the tasks, which included sending free text e-mails to an address proposed by the subjects themselves. The online performance results obtained, as well as the results of subjective questionnaires, support the viability of the proposed system.

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Section: Introductionmentioning

confidence: 99%

Brain–Computer Interface (BCI) Control of a Virtual Assistant in a Smartphone to Manage Messaging Applications

Velasco-Álvarez

Fernández-Rodríguez

Vizcaíno-Martín

et al. 2021

Sensors

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“…Wireless MMI applications will have a wider demand as they can be used to control systems from anywhere just by mental manipulation [97]. A state-of-the-art auditory signal-based MMI has been developed by Hseih et al for homecare use of visually challenged people [98]. They recorded the evoked responses exhibited by two different audio signals for each ear using EEG.…”

Section: Future Scopementioning

confidence: 99%

The Potential of Cognitive Neuroimaging: A Way Forward to the Mind-Machine Interface

et al. 2018

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Bridging the human mind with an external system implicitly or explicitly has been the aspiration of researchers working in the field of cognitive neuroimaging. Identifying the potential of various imaging techniques in identifying and mapping different regions of the brain in relation to their functions is the key to eliminating the difficulties in developing a mind-machine interface (MMI). Communication technology has flourished to the extent that wireless MMI applications can be designed to virtually control machines like wheelchairs, artificial limbs, etc. A cornucopia of diversified works on cognitive imaging is required to move the preliminary MMI models forward, thus engendering a technologically advanced system which can be operated directly by the brain. This article provides an overview of various aspects of cognitive neuroimaging and its potential applications in the development of a mind-machine interface.

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“…Gerçekleştirdikleri bu çalışmada kişiye özel EEG frekans bantlarının seçimi üzerine çalışılmışlardır. Duaa AIQattan ve Francisco Sepulveda yayınladıkları "Towards Sign Language Recognition Using EEG-Based Motor Imagery Brain Computer Interface" isimli çalışmada felçli hastaların Amerikan İşaret Dili 'nde kullanınlan tek elle yapılabilen 6 adet temel işareti kullanabilmeleri üzerine çalışmışlardır (Pan, Li, & Wang, 2016 (Hsieh, Sun, Yeh, & Pan, 2017).…”

Section: Bci Alaninda Yapilmiş Bazi çAlişmalarunclassified

“…Bu çalışmada doğrusal olmayan Destek Vektör Makineleri(SVM) ve doğrusal diskriminant analizi (LDA) kullanmıştır. K. L. Hsieh ve arkadaşları gerçekleştirdikleri "Home Care by Auditory Brain Computer Interface for the Blind with Severe Physical Disabilities" çalışmada kısmi fiziksel engelli ve aynı zamanda ama olan bireyler için akıllı ev sistemlerinin temel yönetim işlemlerini gerçekleştirmek üzere ses temelli BCI sistemi geliştirmişlerdir(Hsieh, Sun, Yeh, & Pan, 2017).Bu çalışmada EEG sinyalleri hakkında temel bilgilere ve EEG sinyallerinin BCI sistemlerinde kullanılış şekilleri hakkında bilgilere ve örneklere yer verilmiştir. Bazı BCI sistemlerinde EEG sinyallerinin bir türevi olan ERP de kullanılmaktadır.…”

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Using of Bci as an Assistant System and Eeg Signals in Bci Systems

Ergüzen

Haltas

Erdal

et al. 2018

Uluslararası Muhendislik Arastirma Ve Gelistirme Dergisi

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Öz Günümüzde halen insan anatomisi ve buna bağlı olarak hastalıkların incelenmesi süregelmektedir. İnsanoğlunun en çok ilgisini çeken anatomik kısımlardan bir tanesi de şüphesiz ki beyindir. Günümüz çalışmaları beyin sinirsel faaliyetlerini izleyerek çeşitli alanlarda ilerlemeler göstermektedir. Beyin sinyallerinin izlenmesi için kullanılan en yaygın yöntemlerden biri EEG (Elektroansefalogram) olarak bilinmektedir. Günümüzde EEG tıbbi alanda tanı ve tedaviye yardımcı olarak kullanıldığı gibi aynı zamanda disiplinler arası olarak bilgisayar bilimlerinde BCI (Beyin Bilgisayar Arayüzü) sistemlerinde kullanılmaktadır. Beyin Bilgisayar Arayüzü (Brain Computer Interface (BCI)) sistemlerinin temelinde birey beyin sinyallerinin toplanarak bireyin dış dünyayla iletişime geçmesi için uygun şekilde kullanımı söz konusudur. BCI sistemlerinin kullanım alanları; kısmi motor hareket kayıpları, ağır felçli bireyler, ağır konuşma güçlükleri vb. olarak sıralanabilir. Bu çalışmada günümüzde BCI sistem tasarımlarında gelinen nokta hakkında derleme yapılmıştır. Bu sayede BCI sistemi çalışmalarının durumu izlenebilecek ve BCI alanında gelişmelerin doğrultusu görülebilecektir.

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Home care by auditory Brain Computer Interface for the blind with severe physical disabilities

Cited by 9 publications

References 6 publications

Brain–Computer Interface (BCI) Control of a Virtual Assistant in a Smartphone to Manage Messaging Applications

Brain–Computer Interface (BCI) Control of a Virtual Assistant in a Smartphone to Manage Messaging Applications

The Potential of Cognitive Neuroimaging: A Way Forward to the Mind-Machine Interface

Using of Bci as an Assistant System and Eeg Signals in Bci Systems

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