Brain-Computer Interface Controlled Drones: A Systematic Review

被引：2

作者：

Glavas, Kosmas ^{[1
]}

Tzimourta, Katerina D. ^{[1
]}

Angelidis, Pantelis ^{[1
]}

Bibi, Stamatia ^{[1
]}

Tsipouras, Markos G. ^{[1
]}

机构：

[1] Univ Western Macedonia, Dept Elect & Comp Engn, Kozani 50100, Greece

来源：

IEEE ACCESS | 2024年 / 12卷

关键词：

Brain-computer interface (BCI); drones; unmanned aerial vehicles (UAVs); electroencephalography (EEG); BCI-controlled drones; systematic review; MOTOR IMAGERY; EEG; REHABILITATION; COMMUNICATION; BCI;

D O I：

10.1109/ACCESS.2024.3392008

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The goal of this systematic review is to examine the use of Brain-Computer Interfaces (BCIs) for controlling unmanned aerial vehicles (UAVs) in real-time. A comprehensive search across various online databases, including IEEE Explore, ScienceDirect, MDPI and PubMed, using the PRISMA research method, was conducted. The total of 42 experimental studies were identified, analyzed, and included in the final report. The review highlights several important research directions and areas that require further investigation in the field. Additionally, it identifies potential future possibilities and trends in BCI-controlled UAVs. Lastly, the review outlines the future challenges that researchers are likely to encounter, aiming to provide valuable insights and guidance for future studies in this area. To the authors' best knowledge, this systematic review represents the most extensive analysis in literature, both in terms of the number of studies included and the span of years considered.

引用

页码：61279 / 61300

页数：22

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