A Conceptual Model for Mobile Interaction using Brain Computer Interface

Gaber, Abubaker; Ghazali, Masitah; Iahad, Noorminshah A.

doi:10.14257/ijfgcn.2018.11.2.06

Cited by 4 publications

(10 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For instance, a communication application which provides users with the ability to write a message by looking at the Android device screen for communication proposes [4]. This application uses p300 which utilizes Visual Evoked Potential (VEP) technique that depends on visual stimulation where the user focuses on the target on the screen while the screen is flashing, and the user's brain generates signals in response to that visual stimulation [6]. Another example is for entertainment that is by controlling a racing car speed in a game by concentrate and relaxing [7], or to control a wheelchair remotely using Android device [8].…”

Section: Background and Related Workmentioning

confidence: 99%

“…The researchers try to take advantage of the portable devices due to their small sizes and the long battery life as compared to PC and managed to start using BCI outside the labs [5]. In addition, due to the availability of portable BCI headsets in the market, makes it easier to develop and create applications for Android devices [6].…”

Section: Introductionmentioning

confidence: 99%

“…The current limitation that was found from these works is the BCI users can only interact with one application at a time, and cannot access, interact nor control the device operating system and were limited to use the presented application on the screen of the device only and cannot shift or switch the application without the necessity of touching the device screen [6]. A prototype called MotionMouse was developed to solve those limitations based on the proposed model in [6] as a proof-of-concept of that model which focuses on providing the users with a control application to be the first application to receives the user brain signal and that application should be able to control the main functions of Android system like touch [6]. Based on that the user will have the freedom to select the desired application on the Android device of communication, entertainment or control types [6].…”

Section: Introductionmentioning

confidence: 99%

“…A prototype called MotionMouse was developed to solve those limitations based on the proposed model in [6] as a proof-of-concept of that model which focuses on providing the users with a control application to be the first application to receives the user brain signal and that application should be able to control the main functions of Android system like touch [6]. Based on that the user will have the freedom to select the desired application on the Android device of communication, entertainment or control types [6]. Malaysian Journal of Computer Science.…”

Section: Introductionmentioning

confidence: 99%

“…There are two goals of this study. The first goal is to provide a practical implementation by developing a prototype based on the model in [6] which can help developers and researchers to implement that model in different methods and using different headsets. The second goal is to assess and evaluate the usability of MotionMouse prototype by utilizing Emotiv EPOC+ as an alternative for the users to interact with their Android devices.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Usability Testing on Motionmouse: A Prototype to Control Android Tablet Using Emotiv Epoc+

Gaber

Ghazali²,

Iahad³

et al. 2019

MJCS

Self Cite

View full text Add to dashboard Cite

Portable brain-computer interfaces (BCI) headsets that available today in the market provides users with unique ability and experience to interact with their mobile phones and tablets. Researchers try to use BCI outside the labs by implementing and developing applications for BCI mostly on Android platform, which are of different types and purposes, such as communication purposes, controlling external devices and for entertainment such as games. But typically, those BCI related applications are somewhat limited in terms of their scope of control, i.e. the users can only interact with one application at a time and cannot switch to other application without touching the device screen. This paper addresses the development of a MotionMouse, a prototype that provides users with an alternative to fully interact and control an Android tablet by controlling not just one, but many different application types. The evaluation of the prototype was based on ISO 9241-11:2018 standards with a result that demonstrate the ability of controlling and generating touch events on the device using Emotiv EPOC+ with effectiveness of 63.82% (accuracy of the correct target) and efficiency of 3.22 clicks per minute. In addition, the participants also found that it was easy to perform the tasks with few showed excitements during the experiment.

show abstract

Section: Background and Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Usability Testing on Motionmouse: A Prototype to Control Android Tablet Using Emotiv Epoc+

Gaber

Ghazali²,

Iahad³

et al. 2019

MJCS

Self Cite

View full text Add to dashboard Cite

show abstract

Effect of Photovoltaic Generation on Relay Protection of Distribution Network

Zhao

2019

Advances in Intelligent Systems and Computing

View full text Add to dashboard Cite

Research trends in computerized cognitive training contents with text network

Lee

Shin

Moon

et al. 2021

IFS

View full text Add to dashboard Cite

Computerized Cognitive Training (CCT) contents used to improve patients’ cognitive ability with Mild Cognitive Impairment (MCI) can provide customized training through individual data collection and analysis. However, studies on transfer effect of improving other untrained cognitive domains while performing the contents are insufficient. The present paper intended to collect literature published by PubMed, EMBASE, Cochrane Library, and Web of Science until December 2019 and analyze the trends of CCT and the transfer effect in each training area. Studies on CCT (82/891) have been increasing each year, and universities (60/82) in the United States (17/82) have published the most. In the literature that reported clinical effect (18/82), the cognitive domain mostly studied was memory (14/18), and the N-Back (3/14) method accounted for most of the training contents. Moreover, the contents that showed the highest degree, closeness, and betweenness centrality (BC) indices were the memory area, and video accounted for the highest among the intervention methods. In particular, the closeness centrality (CC) index of the memory and attention contents showed similar results. It can be interpreted that the possibility of the transfer effect occurring from memory and attention areas is the highest since the semantic distance (i.e. the similarity of the training process) between the attention contents and memory contents was the closest. The effectiveness of the actual transfer effect between the memory and attention should be verified.

show abstract

A Conceptual Model for Mobile Interaction using Brain Computer Interface

Abstract: Interacting with mobiles and portable devices using brain waves has become a reality with the recent advances in the brain-computer interfaces (BCI)

Cited by 4 publications

References 19 publications

Usability Testing on Motionmouse: A Prototype to Control Android Tablet Using Emotiv Epoc+

Usability Testing on Motionmouse: A Prototype to Control Android Tablet Using Emotiv Epoc+

Effect of Photovoltaic Generation on Relay Protection of Distribution Network

Research trends in computerized cognitive training contents with text network

Contact Info

Product

Resources

About