A Symbols Based BCI Paradigm for Intelligent Home Control Using P300 Event-Related Potentials
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...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-12-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/22/24/10000 |
| _version_ | 1797455300609966080 |
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| author | Faraz Akram Ahmed Alwakeel Mohammed Alwakeel Mohammad Hijji Usman Masud |
| author_facet | Faraz Akram Ahmed Alwakeel Mohammed Alwakeel Mohammad Hijji Usman Masud |
| author_sort | Faraz Akram |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-09T15:51:27Z |
| format | Article |
| id | doaj.art-48e303c5c376430dbc0ce83feba0be29 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-09T15:51:27Z |
| publishDate | 2022-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-48e303c5c376430dbc0ce83feba0be292023-11-24T17:58:52ZengMDPI AGSensors1424-82202022-12-0122241000010.3390/s222410000A Symbols Based BCI Paradigm for Intelligent Home Control Using P300 Event-Related PotentialsFaraz Akram0Ahmed Alwakeel1Mohammed Alwakeel2Mohammad Hijji3Usman Masud4Department of Biomedical Engineering, Riphah International University, Islamabad 46000, PakistanSensor Networks and Cellular Systems Research Center, University of Tabuk, Tabuk 71491, Saudi ArabiaFaculty of Computers & Information Technology, University of Tabuk, Tabuk 71491, Saudi ArabiaFaculty of Computers & Information Technology, University of Tabuk, Tabuk 71491, Saudi ArabiaFaculty of Electrical and Electronics Engineering, University of Engineering and Technology, Taxila 47050, PakistanBrain-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.https://www.mdpi.com/1424-8220/22/24/10000brain-computer interfacesmart homephone controlevent-related potentialsEEGP300 |
| spellingShingle | Faraz Akram Ahmed Alwakeel Mohammed Alwakeel Mohammad Hijji Usman Masud A Symbols Based BCI Paradigm for Intelligent Home Control Using P300 Event-Related Potentials Sensors brain-computer interface smart home phone control event-related potentials EEG P300 |
| title | A Symbols Based BCI Paradigm for Intelligent Home Control Using P300 Event-Related Potentials |
| title_full | A Symbols Based BCI Paradigm for Intelligent Home Control Using P300 Event-Related Potentials |
| title_fullStr | A Symbols Based BCI Paradigm for Intelligent Home Control Using P300 Event-Related Potentials |
| title_full_unstemmed | A Symbols Based BCI Paradigm for Intelligent Home Control Using P300 Event-Related Potentials |
| title_short | A Symbols Based BCI Paradigm for Intelligent Home Control Using P300 Event-Related Potentials |
| title_sort | symbols based bci paradigm for intelligent home control using p300 event related potentials |
| topic | brain-computer interface smart home phone control event-related potentials EEG P300 |
| url | https://www.mdpi.com/1424-8220/22/24/10000 |
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