Evidence map›Paper›PMID 36560369›Full record

ArticleSensors (Basel, Switzerland)2022

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

Faraz Akram, Ahmed Alwakeel, Mohammed Alwakeel, Mohammad Hijji, Usman Masud

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.9field-weighted citation impact, top 14% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
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  4. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 3 countries.

Faraz AkramDepartment of Biomedical Engineering, Riphah International University, Islamabad 46000, Pakistan.ORCID 0000-0003-1483-1801
Ahmed AlwakeelSensor Networks and Cellular Systems Research Center, University of Tabuk, Tabuk 71491, Saudi Arabia.
Mohammed AlwakeelFaculty of Computers & Information Technology, University of Tabuk, Tabuk 71491, Saudi Arabia.ORCID 0000-0001-6897-3050
Mohammad HijjiFaculty of Computers & Information Technology, University of Tabuk, Tabuk 71491, Saudi Arabia.ORCID 0000-0001-9279-401X
Usman MasudFaculty of Electrical and Electronics Engineering, University of Engineering and Technology, Taxila 47050, Pakistan.ORCID 0000-0003-1067-4415
University of Tabuk · SARiphah International University · PKUniversity of Kassel · DE

Funding

Sensor Networks and Cellular Systems Research Center (SNCS) 001/1443
6 · The paper itself

Abstract

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.

Indexed as

Brain-Computer InterfacesTelecommunicationsBrainCyclohexylaminesElectroencephalographyEvent-Related Potentials, P300HumansIndenesWriting2-benzylidene-3-(cyclohexylamino)-2,3-dihydro-1H-inden-1-oneCyclohexylaminesIndenesbrain-computer interfaceEEGevent-related potentialsP300phone controlsmart home

Identifiers

PMID36560369
PMCPMC9781197
OpenAlexW4312195654

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.