Brain controlled multiagent aerial vehicles system

Abstract

This paper describes designed control system for group of quadcopters with connection to the brain-computer interface. Quadcopter can be controlled mentally. Electroencephalogram signals are used as control commands. The system is able to keep formation during the movement on the optimal trajectory for the fastest exploration of locality. The application provides both manual and full-automatic control with streaming video capturing. Realized system may be used by disabled people for drug delivery and observation of neighborhood or by the operators in industry as well as in exploration of locality in case of technogenic accident and catastrophe, elemental calamity.

Brain-Computer Interface Controlled Drones: A Systematic Review

“…This study [24] investigated the feasibility of controlling both a single drone and a group of drones using a BCI. Emotiv Epoc was employed for recording the brain signals from a single subject.…”

“…The fewest number of EEG sensors reported in these papers is five [22] [25] [23] followed by six [26] and eight [29]. The most used number of sensors is fourteen [31] [25] [33] [21] [24] and the most sensors used is Sixty-four [39]. [25] used two EEG headsets to evaluate the proposed BCI.…”

“…[25] [21] split the EEG data into five bands: Delta, Theta, Alpha, Beta, and Gamma. [24] used spectral analysis by employing the FFT algorithm. Lastly, [39] [29] didn't mention the EEG processing that was used in their works.…”

“…Some error-based metrics were employed in [26] and some average task-related metrics were used in [39]. Lastly, [24] did not provide any metric to assess the proposed BCI system.…”