A BCI Based Alerting System for Attention Recovery of UAV Operators
As unmanned aerial vehicles have become popular, the number of accidents caused by an operator’s inattention have increased. To prevent such accidents, the operator should maintain an attention status. However, limited research has been conducted on the brain-computer interface (BCI)-based system wi...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2021-04-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/21/7/2447 |
| _version_ | 1797539016105525248 |
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| author | Jonghyuk Park Jonghun Park Dongmin Shin Yerim Choi |
| author_facet | Jonghyuk Park Jonghun Park Dongmin Shin Yerim Choi |
| author_sort | Jonghyuk Park |
| collection | DOAJ |
| description | As unmanned aerial vehicles have become popular, the number of accidents caused by an operator’s inattention have increased. To prevent such accidents, the operator should maintain an attention status. However, limited research has been conducted on the brain-computer interface (BCI)-based system with an alerting module for the operator’s attention recovery of unmanned aerial vehicles. Therefore, we introduce a detection and alerting system that prevents an unmanned aerial vehicle operator from falling into inattention status by using the operator’s electroencephalogram signal. The proposed system consists of the following three components: a signal processing module, which collects and preprocesses an electroencephalogram signal of an operator, an inattention detection module, which determines whether an inattention status occurred based on the preprocessed signal, and, lastly, an alert providing module that presents stimulus to an operator when inattention is detected. As a result of evaluating the performance with a real-world dataset, it was shown that the proposed system successfully contributed to the recovery of operator attention in the evaluating dataset, although statistical significance could not be established due to the small number of subjects. |
| first_indexed | 2024-03-10T12:40:21Z |
| format | Article |
| id | doaj.art-2bb4de5baf064eb49fb9d295b53461c2 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T12:40:21Z |
| publishDate | 2021-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-2bb4de5baf064eb49fb9d295b53461c22023-11-21T13:55:50ZengMDPI AGSensors1424-82202021-04-01217244710.3390/s21072447A BCI Based Alerting System for Attention Recovery of UAV OperatorsJonghyuk Park0Jonghun Park1Dongmin Shin2Yerim Choi3Department of Industrial Engineering and Institute for Industrial Systems Innovation, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, KoreaDepartment of Industrial Engineering and Institute for Industrial Systems Innovation, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, KoreaDepartment of Industrial and Management Engineering, Hanyang University, 55 Hanyangdaehak-ro, Sangnok-gu, Ansan-si 15588, Koreaai.m Inc., Gangnamdae-ro, Gangnam-gu, Seoul 06241, KoreaAs unmanned aerial vehicles have become popular, the number of accidents caused by an operator’s inattention have increased. To prevent such accidents, the operator should maintain an attention status. However, limited research has been conducted on the brain-computer interface (BCI)-based system with an alerting module for the operator’s attention recovery of unmanned aerial vehicles. Therefore, we introduce a detection and alerting system that prevents an unmanned aerial vehicle operator from falling into inattention status by using the operator’s electroencephalogram signal. The proposed system consists of the following three components: a signal processing module, which collects and preprocesses an electroencephalogram signal of an operator, an inattention detection module, which determines whether an inattention status occurred based on the preprocessed signal, and, lastly, an alert providing module that presents stimulus to an operator when inattention is detected. As a result of evaluating the performance with a real-world dataset, it was shown that the proposed system successfully contributed to the recovery of operator attention in the evaluating dataset, although statistical significance could not be established due to the small number of subjects.https://www.mdpi.com/1424-8220/21/7/2447brain computer interactionunmanned aerial vehicleEEG-signalattention recoveryalerting systemgraphical user interface |
| spellingShingle | Jonghyuk Park Jonghun Park Dongmin Shin Yerim Choi A BCI Based Alerting System for Attention Recovery of UAV Operators Sensors brain computer interaction unmanned aerial vehicle EEG-signal attention recovery alerting system graphical user interface |
| title | A BCI Based Alerting System for Attention Recovery of UAV Operators |
| title_full | A BCI Based Alerting System for Attention Recovery of UAV Operators |
| title_fullStr | A BCI Based Alerting System for Attention Recovery of UAV Operators |
| title_full_unstemmed | A BCI Based Alerting System for Attention Recovery of UAV Operators |
| title_short | A BCI Based Alerting System for Attention Recovery of UAV Operators |
| title_sort | bci based alerting system for attention recovery of uav operators |
| topic | brain computer interaction unmanned aerial vehicle EEG-signal attention recovery alerting system graphical user interface |
| url | https://www.mdpi.com/1424-8220/21/7/2447 |
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