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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 7, ISSUE 3, MARCH 2018

Mind Controlled Assistive Quadrotor Drone

Om Raheja, Kapil Pawar, Mohini Saraf, Sudeshna Maiti

DOI: 10.17148/IJARCCE.2018.7366

Abstract: Brain Computer Interfaces (BCI), also referred to as Mind Machine Interface (MMI) are devices capable of capturing brain activity. EEG based brain-controlled systems had initially found applications in military surveillance and biomedical services. Further research and work in this domain has enabled paralyzed people to control prosthetic arm with the help of their brain signals. Recent advancement in BCI Technology has seen a meteoric growth with contributions in additional fields such as security, lifestyle and entertainment. With the ever-increasing usability of drones in this era, we have tried to incorporate BCI with Unmanned Aerial Vehicles (UAVs). In this paper, we discuss the utilization of EEG signals to manoeuvre a quadrotor drone using a brain-wave-enabled biosensor. One of the crucial tasks performed by this sensor is to assimilate incoming stimuli and analyse the cerebral signals to determine accurate results.



Keywords: BCI(Brain computer interface), EEG, brain signals, drone,BCI(Brain computer interface), EEG, brain signals, drone.

How to Cite:

[1] Om Raheja, Kapil Pawar, Mohini Saraf, Sudeshna Maiti, “Mind Controlled Assistive Quadrotor Drone,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2018.7366