Research on the Application of EEG-based Hybrid Brain-Computer Interface in Unmanned Platforms

With the development of technology and the times, Brain-Computer Interface (BCI) has been a research hotspot in various fields including industrial safety, emergency rescue, medical rehabilitation, military security, and unmanned platforms. Traditional unmanned platforms require the operation of hardware devices to achieve movement purposes. With the advancement of military warfare technology, the application of BCI technology for remote control of unmanned platforms has become increasingly important. By directly decoding brain signals, control over external devices can be achieved, which is crucial for realizing intelligent applications, information acquisition, target surveillance, and military tactical deployment. Utilizing hybrid brain-computer interfaces (hBCI) based on electroencephalogram (EEG) signals to control unmanned platforms holds great potential and represents a trend in future technological development.

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Publication Details

Published
2025-03-07
DOI
https://doi.org/10.1145/3729706.3729721
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
0.00
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article

Research on the Application of EEG-based Hybrid Brain-Computer Interface in Unmanned Platforms

Xuemei Fan, Yuzhe Shang, Hui Zhang, Lulu Wang
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EEG and Brain-Computer Interfaces
article

Research on the Application of EEG-based Hybrid Brain-Computer Interface in Unmanned Platforms

Xuemei Fan, Yuzhe Shang, Hui Zhang, Lulu Wang
article en

Abstract

With the development of technology and the times, Brain-Computer Interface (BCI) has been a research hotspot in various fields including industrial safety, emergency rescue, medical rehabilitation, military security, and unmanned platforms. Traditional unmanned platforms require the operation of hardware devices to achieve movement purposes. With the advancement of military warfare technology, the application of BCI technology for remote control of unmanned platforms has become increasingly important. By directly decoding brain signals, control over external devices can be achieved, which is crucial for realizing intelligent applications, information acquisition, target surveillance, and military tactical deployment. Utilizing hybrid brain-computer interfaces (hBCI) based on electroencephalogram (EEG) signals to control unmanned platforms holds great potential and represents a trend in future technological development.

Openalex Percentile: Top 85%
EEG and Brain-Computer Interfaces
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