Mind Drone Chasing Using EEG-based Brain Computer Interface

Fatima Ali Al-Nuaimi, Rauda Jasem Al-Nuaimi, Sara Saaed Al-Dhaheri, Sofia Ouhbi, Abdelkader Nasreddine Belkacem

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

Abstract

In this paper, we present a new way of controlling drone by using a P300-based brain-computer interface that supports the military field as assistive technology. The main idea is that the drone can be controlled by the soldier's brain activity using electroencephalogram (EEG) to chase other drones and discover hidden enemy areas. We assumed that we have two able-bodied users, the first role played by a user as a soldier aims to control the drone by using brain activity and the other role played by another user as an enemy aims to control manually the drone using Python program. This scenario allowed us to test the ability of chasing the enemy's drone. The results for this application was evaluated by the ability of the user to calibrate very well with the software and the ability of the program to receive and send commands using EEG signal to the drone for execution.

Original languageEnglish
Title of host publicationProceedings of the 2020 16th International Conference on Intelligent Environments, IE 2020
EditorsCarlos A. Iglesias, Jose Ignacio Moreno, Diego Rivera
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages74-79
Number of pages6
ISBN (Electronic)9781728161587
DOIs
Publication statusPublished - Jul 2020
Event16th International Conference on Intelligent Environments, IE 2020 - Madrid, Spain
Duration: Jul 20 2020Jul 23 2020

Publication series

NameProceedings of the 2020 16th International Conference on Intelligent Environments, IE 2020

Conference

Conference16th International Conference on Intelligent Environments, IE 2020
Country/TerritorySpain
CityMadrid
Period7/20/207/23/20

Keywords

  • BCI
  • Brain-computer interface
  • Drone chasing
  • EEG
  • Electroencephalogram

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Media Technology

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