Distributed machine learning for uav swarms: Computing, sensing, and semantics

Y Ding, Z Yang, QV Pham, Y Hu… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
The unmanned aerial vehicle (UAV) swarms have shown great potential to serve next-
generation communication networks with their extraordinary flexibility, affordability, and the …

Brain-Computer Interface Controlled Drones: A Systematic Review

K Glavas, KD Tzimourta, P Angelidis, S Bibi… - IEEE …, 2024 - ieeexplore.ieee.org
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 …

A Comprehensive Survey of Brain-Computer Interface Technology in Healthcare: Research Perspectives

MV Cruz, S Jamal, SC Sethuraman - 2024 - preprints.org
Abstract The Brain-Computer Interface (BCI) technology has emerged as a groundbreaking
innovation with profound implications across diverse domains, particularly in healthcare. By …

Wearable gold-graphene dry electrode-based headband for effective brain-computer interface applications

Y Zheng, Y Sun, H Li, X Xuan, P Li, M Li - Journal of Materials …, 2024 - pubs.rsc.org
The peripheral control system based on head electrophysiological signals is a powerful tool
for patients with hand disabilities, limb inflexibility, and amyotrophic lateral sclerosis to …

Aim Where You Look: Eye-Tracking-Based UAV Control Framework for Automatic Target Aiming

M Yang, J Wang, Y Gao, B Hu - IEEE Internet of Things Journal, 2024 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) often require real time and accurate control in military,
rescue, and transportation applications. There is an urgent demand from operators for …

Remote-Oriented Brain-Controlled Unmanned Aerial Vehicle for IoT

S Liu, Z Ming, M Liu, D Zhang, Z Liu… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
With the rapid development of the internet of things (IoT) systems, the application potential of
remote-oriented unmanned aerial vehicle (UAV) in IoT systems is becoming increasingly …

Brain–Computer Interface Based on PLV-Spatial Filter and LSTM Classification for Intuitive Control of Avatars

K Martín-Chinea, JF Gómez-González, L Acosta - Electronics, 2024 - mdpi.com
This study researches the combination of the brain–computer interface (BCI) and virtual
reality (VR) in order to improve user experience and facilitate control learning in a safe …

基于脑机接口的无人机控制系统研究综述.

兰珍, 李子杏, 闫超, 相晓嘉… - Control Theory & …, 2023 - search.ebscohost.com
无人机具有响应快速, 部署灵活等独特优势, 在军事及民用领域拥有广阔的应用前景. 随着脑–
机接口(BCI) 技术的迅猛发展, 其在无人机控制中的应用得到了愈发广泛的关注. 基于BCI …

[PDF][PDF] Chaotic CS Encryption: An Efficient Image Encryption Algorithm Based on Chebyshev Chaotic System and Compressive Sensing.

M Sun, J Yuan, X Li, D Liu - Computers, Materials & Continua, 2024 - cdn.techscience.cn
Images are the most important carrier of human information. Moreover, how to safely
transmit digital images through public channels has become an urgent problem. In this …

Image Segmentation-P300 Selector: A Brain-Computer Interface System for Target Selection.

H Sun, C Li, H Zhang - Computers, Materials & Continua, 2024 - search.ebscohost.com
Brain-computer interface (BCI) systems, such as the P300 speller, enable patients to
express intentions without necessitating extensive training. However, the complexity of …