Use of Force Feedback Device in a Hybrid Brain-Computer Interface Based on SSVEP, EOG and Eye Tracking for Sorting Items

Research focused on signals derived from the human organism is becoming increasingly popular. In this field, a special role is played by brain-computer interfaces based on brainwaves. They are becoming increasingly popular due to the downsizing of EEG signal recording devices and ever-lower set pric...

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Autor principal:	Arkadiusz Kubacki
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	electroencephalography EEG electrooculography EOG steady-state visual evoked potential SSVEP Chemical technology TP1-1185
Acceso en línea:	https://doaj.org/article/47e7e99534d94d4ea425aad649cdc6fc
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id	oai:doaj.org-article:47e7e99534d94d4ea425aad649cdc6fc
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spelling	oai:doaj.org-article:47e7e99534d94d4ea425aad649cdc6fc2021-11-11T19:12:56ZUse of Force Feedback Device in a Hybrid Brain-Computer Interface Based on SSVEP, EOG and Eye Tracking for Sorting Items10.3390/s212172441424-8220https://doaj.org/article/47e7e99534d94d4ea425aad649cdc6fc2021-10-01T00:00:00Zhttps://www.mdpi.com/1424-8220/21/21/7244https://doaj.org/toc/1424-8220Research focused on signals derived from the human organism is becoming increasingly popular. In this field, a special role is played by brain-computer interfaces based on brainwaves. They are becoming increasingly popular due to the downsizing of EEG signal recording devices and ever-lower set prices. Unfortunately, such systems are substantially limited in terms of the number of generated commands. This especially applies to sets that are not medical devices. This article proposes a hybrid brain-computer system based on the Steady-State Visual Evoked Potential (SSVEP), EOG, eye tracking, and force feedback system. Such an expanded system eliminates many of the particular system shortcomings and provides much better results. The first part of the paper presents information on the methods applied in the hybrid brain-computer system. The presented system was tested in terms of the ability of the operator to place the robot’s tip to a designated position. A virtual model of an industrial robot was proposed, which was used in the testing. The tests were repeated on a real-life industrial robot. Positioning accuracy of system was verified with the feedback system both enabled and disabled. The results of tests conducted both on the model and on the real object clearly demonstrate that force feedback improves the positioning accuracy of the robot’s tip when controlled by the operator. In addition, the results for the model and the real-life industrial model are very similar. In the next stage, research was carried out on the possibility of sorting items using the BCI system. The research was carried out on a model and a real robot. The results show that it is possible to sort using bio signals from the human body.Arkadiusz KubackiMDPI AGarticleelectroencephalographyEEGelectrooculographyEOGsteady-state visual evoked potentialSSVEPChemical technologyTP1-1185ENSensors, Vol 21, Iss 7244, p 7244 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	electroencephalography EEG electrooculography EOG steady-state visual evoked potential SSVEP Chemical technology TP1-1185
spellingShingle	electroencephalography EEG electrooculography EOG steady-state visual evoked potential SSVEP Chemical technology TP1-1185 Arkadiusz Kubacki Use of Force Feedback Device in a Hybrid Brain-Computer Interface Based on SSVEP, EOG and Eye Tracking for Sorting Items
description	Research focused on signals derived from the human organism is becoming increasingly popular. In this field, a special role is played by brain-computer interfaces based on brainwaves. They are becoming increasingly popular due to the downsizing of EEG signal recording devices and ever-lower set prices. Unfortunately, such systems are substantially limited in terms of the number of generated commands. This especially applies to sets that are not medical devices. This article proposes a hybrid brain-computer system based on the Steady-State Visual Evoked Potential (SSVEP), EOG, eye tracking, and force feedback system. Such an expanded system eliminates many of the particular system shortcomings and provides much better results. The first part of the paper presents information on the methods applied in the hybrid brain-computer system. The presented system was tested in terms of the ability of the operator to place the robot’s tip to a designated position. A virtual model of an industrial robot was proposed, which was used in the testing. The tests were repeated on a real-life industrial robot. Positioning accuracy of system was verified with the feedback system both enabled and disabled. The results of tests conducted both on the model and on the real object clearly demonstrate that force feedback improves the positioning accuracy of the robot’s tip when controlled by the operator. In addition, the results for the model and the real-life industrial model are very similar. In the next stage, research was carried out on the possibility of sorting items using the BCI system. The research was carried out on a model and a real robot. The results show that it is possible to sort using bio signals from the human body.
format	article
author	Arkadiusz Kubacki
author_facet	Arkadiusz Kubacki
author_sort	Arkadiusz Kubacki
title	Use of Force Feedback Device in a Hybrid Brain-Computer Interface Based on SSVEP, EOG and Eye Tracking for Sorting Items
title_short	Use of Force Feedback Device in a Hybrid Brain-Computer Interface Based on SSVEP, EOG and Eye Tracking for Sorting Items
title_full	Use of Force Feedback Device in a Hybrid Brain-Computer Interface Based on SSVEP, EOG and Eye Tracking for Sorting Items
title_fullStr	Use of Force Feedback Device in a Hybrid Brain-Computer Interface Based on SSVEP, EOG and Eye Tracking for Sorting Items
title_full_unstemmed	Use of Force Feedback Device in a Hybrid Brain-Computer Interface Based on SSVEP, EOG and Eye Tracking for Sorting Items
title_sort	use of force feedback device in a hybrid brain-computer interface based on ssvep, eog and eye tracking for sorting items
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/47e7e99534d94d4ea425aad649cdc6fc
work_keys_str_mv	AT arkadiuszkubacki useofforcefeedbackdeviceinahybridbraincomputerinterfacebasedonssvepeogandeyetrackingforsortingitems
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Use of Force Feedback Device in a Hybrid Brain-Computer Interface Based on SSVEP, EOG and Eye Tracking for Sorting Items

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