Consumer grade EEG devices: are they usable for control tasks?

Maskeliūnas, Rytis; Damaševičius, Robertas; Martišius, Ignas; Vasiljevas, Mindaugas

doi:10.7717/peerj.1746

Cited by 165 publications

(123 citation statements)

References 54 publications

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“…A survey of most of them along with a comparison are conducted in [11], where the Emotiv Epoc headset [12] was evaluated as the most usable low-cost device. More precisely, a comparison between the Emotiv Epoc headset and the Neurosky headset was conducted in several works, confirming the outperforming of the former one [11], [13]. The Emotiv Epoc headset has 14 electrodes located on AF3, F7, F3, FC5, T7, P7, O1, O2, P8, T8, FC6, F4, F8, and AF4 positions as shown in Figure 2.…”

Section: A Brain Signals Acquisition and Analysismentioning

confidence: 81%

SmileToPhone: A Mobile Phone System for Quadriplegic Users Controlled by EEG Signals

Ammar¹,

Taileb²

2017

ijacsa

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Abstract-Quadriplegic people are unable to use mobile devices without the aid of other persons which can be devastating for them both socially and economically. This has motivated many researchers to propose hardware and software solutions that operate as intermediates between the impaired users and their devices: accessibility switches, joysticks and head movements. However, the efficiency of these tools is limited in some conditions. To alleviate this problem, we propose to exploit electroencephalographic signals captured via an adequate headset. More precisely, the user is asked to perform a facial expression that will be recognized by the system through the analysis of the EEG signals. Several facial expressions are offered and each one corresponds to a command wirelessly sent to the mobile device and executed. This Brain Computer Interface based system is called SmileToPhone. It enables the quadriplegic patients to use their smartphones in an easy way with a minimum of effort and with respect to studied Human-Computer-Interaction requirements. The system includes the main functionalities of a smartphone such as making calls and sending messages. The evaluation of the system usability showed that most of the time, users were able to use the different functionalities of the system in an easy way. The current results are encouraging and motivating to add more features to the system.

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Section: A Brain Signals Acquisition and Analysismentioning

confidence: 81%

SmileToPhone: A Mobile Phone System for Quadriplegic Users Controlled by EEG Signals

Ammar¹,

Taileb²

2017

ijacsa

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“…El diseño web simplista de la plataforma de Alimerka facilitó los procesos de desconexión entre tareas, logrando un estado de meditación positivo en los participantes (Maskeliunas, 2016).…”

Section: Figura 3 Representación Gráfica De Los Resultados De Las Vaunclassified

Neurodiseño: aplicación de la neurotecnología a la interpretación de las emociones que afectan la decisión de compra online en plataformas e-commerce del sector retail español

Berdasco

Díaz

2018

Rev.esc.adm.neg

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Neurodiseño: aplicación de la neurotecnología a la interpretación de las emociones que afectan la decisión de compra online en plataformas e-commerce del sector retail español Cómo citar este artículo / To reference this article / Comment citer cet article / Para citar este artigo: Puente Berdasco, D. y Pinilla Díaz, C. A. (2018). Neurodiseño: aplicación de la neurotecnología a la interpretación de las emociones que afectan la decisión de compra online en plataformas e-commerce del sector retail español Revista EAN, 85,[181][182][183][184][185][186][187][188][189][190][191][192][193][194][195][196]. ResumenEntender la esencia psicofisiológica de las emociones se ha convertido en una necesidad imperante en el desarrollo de las estrategias del marketing actual, debido al gran protagonismo que el cliente ha logrado frente a los tradicionales métodos comerciales, donde productos y/o servicios eran el eje principal de actuación. Esta investigación tiene como objetivo identificar e interpretar, a través del uso de herramientas descriptivas y neurocientíficas, el tipo de emociones que experimentan los usuarios al realizar procesos de compra online y cómo estas pueden influir en su decisión final. Se demostró, según pruebas realizadas, que factores emocionales y de ergonomía web -diseño, usabilidad, seguridadinfluyen directamente en la decisión de compra del consumidor. Palabras claveInvestigación motivacional--comercialización, preferencias de los consumidores, mercadeo -aspectos psicológicos, predicciones tecnológicas, diseño de productos, comercio electrónico. Rev. esc.adm.neg. No. 85 Julio -Diciembre de 2018 pp.181-196 Daniel Puente Berdasco / Carlos Andrés Pinilla Díaz 182 Rev. esc.adm.neg. Neurodesign: application of neurotechnology to interpret emotions which affect decision making when buying online in platforms such as e-commerce from the spanish retailing sectorAbstract. Understanding the essence of psychophysiological emotions turns to be an important need for the strategic development of the current market due to the major leading role reached by the customer when facing traditional buying methods in which products/ services become the main performance line. This research paper aims at identifying and interpreting the type of emotions that customers experiment when buying online and how these emotions influence their final choice, using neuroscientific and descriptive tools. It shows that emotional and web ergonomic factors such as design, usability and safety influence directly customer´s buying decision making. Neuro-conception: application de la neuro-technologie pour l'interprétation des émotions affectant la décision d'achat sur des plates-formes de commerce en ligne en Espagne Résumé. La compréhension de l'essence psychophysiologique des émotions est devenue un besoin impératif pour le développement des stratégies marketing actuelles en raison du rôle primordial joué par le client par rapport aux méthodes commerciales traditionnelles où les produits et /ou services constituaient l'axe d'action principal...

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“…The headset was used with a Bluesmirf silver module and an Arduino to capture and parse the data. Although some studies have been quite critical of the Mindwave [18], others [19] find it adequate for capturing simple EEG data. We found that the use of a conductive gel and careful placing of the electrode improved accuracy.…”

Section: Construction Of the Systemmentioning

confidence: 99%