TY - GEN
T1 - Mind Drone Chasing Using EEG-based Brain Computer Interface
AU - Al-Nuaimi, Fatima Ali
AU - Al-Nuaimi, Rauda Jasem
AU - Al-Dhaheri, Sara Saaed
AU - Ouhbi, Sofia
AU - Belkacem, Abdelkader Nasreddine
N1 - Funding Information:
*Corresponding author: A. N. Belkacem, belkacem@uaeu.ac.ae. This study was funded partially by the UAEU (Start-up grant G00003270 “31T130”). 1Dept. Information Systems and Security, CIT, UAE University, Al Ain, UAE. {201302209,201302856}@uaeu.ac.ae 2Dept. Comp. & Network Engineering, CIT, UAE University, Al Ain, UAE. {201400739,belkacem}@uaeu.ac.ae 3Dept. Computer Science & Software Eng., CIT, United Arab Emirates University, Al Ain, UAE sofia.ouhbi@uaeu.ac.ae
Publisher Copyright:
© 2020 IEEE.
PY - 2020/7
Y1 - 2020/7
N2 - 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.
AB - 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.
KW - BCI
KW - Brain-computer interface
KW - Drone chasing
KW - EEG
KW - Electroencephalogram
UR - http://www.scopus.com/inward/record.url?scp=85094841968&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85094841968&partnerID=8YFLogxK
U2 - 10.1109/IE49459.2020.9154926
DO - 10.1109/IE49459.2020.9154926
M3 - Conference contribution
AN - SCOPUS:85094841968
T3 - Proceedings of the 2020 16th International Conference on Intelligent Environments, IE 2020
SP - 74
EP - 79
BT - Proceedings of the 2020 16th International Conference on Intelligent Environments, IE 2020
A2 - Iglesias, Carlos A.
A2 - Moreno, Jose Ignacio
A2 - Rivera, Diego
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 16th International Conference on Intelligent Environments, IE 2020
Y2 - 20 July 2020 through 23 July 2020
ER -