The Uses of Brain-Computer Interface in Different Postures to Application in Real Life

Heo, Dojin; Kim, Min-Ju; Kim, Jong-Su; Choi, Yun Joo; Kim, Sung-Phil

doi:10.1109/bci53720.2022.9734957

2022 10th International Winter Conference on Brain-Computer Interface (BCI) 2022

DOI: 10.1109/bci53720.2022.9734957

|View full text |Cite

The Uses of Brain-Computer Interface in Different Postures to Application in Real Life

Dojin Heo

Min-Ju Kim

Jong-Su Kim

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2022

2024

Publication Types

Select...

Article2

Relationship

Self Cite0

Independent2

Authors

Journals

Cited by 2 publications

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Connecting the Brain with Augmented Reality: A Systematic Review of BCI-AR Systems

Prapas,

Angelidis,

Sarigiannidis

et al. 2024

Applied Sciences

View full text Add to dashboard Cite

The increasing integration of brain–computer interfaces (BCIs) with augmented reality (AR) presents new possibilities for immersive and interactive environments, particularly through the use of head-mounted displays (HMDs). Despite the growing interest, a comprehensive understanding of BCI-AR systems is still emerging. This systematic review aims to synthesize existing research on the use of BCIs for controlling AR environments via HMDs, highlighting the technological advancements and challenges in this domain. An extensive search across electronic databases, including IEEEXplore, PubMed, and Scopus, was conducted following the PRISMA guidelines, resulting in 41 studies eligible for analysis. This review identifies key areas for future research, potential limitations, and offers insights into the evolving trends in BCI-AR systems, contributing to the development of more robust and user-friendly applications.

show abstract

Connecting the Brain with Augmented Reality: A Systematic Review of BCI-AR Systems

Prapas,

Angelidis,

Sarigiannidis

et al. 2024

Applied Sciences

View full text Add to dashboard Cite

show abstract

A Symbols Based BCI Paradigm for Intelligent Home Control Using P300 Event-Related Potentials

Akram

Alwakeel

et al. 2022

Sensors

View full text Add to dashboard Cite

Brain-Computer Interface (BCI) is a technique that allows the disabled to interact with a computer directly from their brain. P300 Event-Related Potentials (ERP) of the brain have widely been used in several applications of the BCIs such as character spelling, word typing, wheelchair control for the disabled, neurorehabilitation, and smart home control. Most of the work done for smart home control relies on an image flashing paradigm where six images are flashed randomly, and the users can select one of the images to control an object of interest. The shortcoming of such a scheme is that the users have only six commands available in a smart home to control. This article presents a symbol-based P300-BCI paradigm for controlling home appliances. The proposed paradigm comprises of a 12-symbols, from which users can choose one to represent their desired command in a smart home. The proposed paradigm allows users to control multiple home appliances from signals generated by the brain. The proposed paradigm also allows the users to make phone calls in a smart home environment. We put our smart home control system to the test with ten healthy volunteers, and the findings show that the proposed system can effectively operate home appliances through BCI. Using the random forest classifier, our participants had an average accuracy of 92.25 percent in controlling the home devices. As compared to the previous studies on the smart home control BCIs, the proposed paradigm gives the users more degree of freedom, and the users are not only able to control several home appliances but also have an option to dial a phone number and make a call inside the smart home. The proposed symbols-based smart home paradigm, along with the option of making a phone call, can effectively be used for controlling home through signals of the brain, as demonstrated by the results.

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

The Uses of Brain-Computer Interface in Different Postures to Application in Real Life

Cited by 2 publications

References 19 publications

Connecting the Brain with Augmented Reality: A Systematic Review of BCI-AR Systems

Connecting the Brain with Augmented Reality: A Systematic Review of BCI-AR Systems

A Symbols Based BCI Paradigm for Intelligent Home Control Using P300 Event-Related Potentials

Contact Info

Product

Resources

About