Research on the Application of EEG-based Hybrid Brain-Computer Interface in Unmanned Platforms
Year: 2025
Type: conference-paper
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.
Authors: Hui Zhang, Xuemei Fan, Yuzhe Shang, Lulu Wang
Language: English
Subfield: Cognitive Neuroscience
Field: Neuroscience
Domain: Life Sciences
Open Access status: gold
OpenAlex ID: W4411887599