A Drone Flight Control Using Brain Computer Interface and Artificial Intelligence

Author:

Abdulghani Mokhles M.1,Harden Arthur A.1,Abed Khalid H.1

Affiliation:

1. Jackson State University,Jackson,Mississippi

Publisher

IEEE

Reference18 articles.

1. Overview of deep learning architectures for EEG-based brain imaging;lachezar;2018 International Joint Conference on Neural Networks (IJCNN),0

2. Eyes-closed” SSVEP-based BCI for binary communication of individuals with impaired oculomotor function;jeong-hwan;International Winter Workshop on Brain-computer Interface (BCI),0

3. Long Short Term Memory Networks for Stroke Activity Recognition base on Smartphone;pandapotan;2021 IEEE 5th International Conference on Information Technology Information Systems and Electrical Engineering (ICITISEE),0

4. Bug Report Classification into Orthogonal Defect Classification Defect Type using Long Short Term Memory;sushil;2021 3rd International Conference on Advances in Computing Communication Control and Networking (ICAC3N),0

5. Deep learning-based electroencephalography analysis: a systematic review

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1. Vision Health Monitoring System for Pilots;2023 International Conference on Computational Science and Computational Intelligence (CSCI);2023-12-13

2. Augmented Reality-Based Visualization and Simulation of Autonomous Unmanned Aerial Vehicle Control System;2023 International Conference on Computational Science and Computational Intelligence (CSCI);2023-12-13

3. Using Artificial Intelligence to Control Drones;2023 IEEE 7th International Conference on Methods and Systems of Navigation and Motion Control (MSNMC);2023-10-24

4. Imagined Speech Classification Using EEG and Deep Learning;Bioengineering;2023-05-26

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