Header Image

MIND CONTROLLED DRONE

NTNU & Signal Analysis Lab AS

In the demonstration, we use Electroencephalography (EEG)  to record the electrical brain activity related to thoughts or body movements.

The data of the brain activity related to the selected and recorded event is transferred to the computer where an algorithm analyses it and extracts the event related potential by using a combination of data analysis and filtering techniques. This extracted signal is converted into a command that is sent to the drone via Wi-Fi.

The mind controlled drone is a proof of concept that demonstrates a software interface that can navigate a drone by blinking. By applying electroencephalogram, the software can register blinks directly from the head with a harmless, non-invasive method that can be applied by most people. A software using nonlinear adaptive filters classify and detects the blinking before they it is used by a control software to navigate the drone. The goal of the software is to demonstrate an outline for a future software tool to help enable control, transportation and communication tools for users with physical disabilities.

 

THE TEAM //
The software was first developed by Professor Marta Molinas, Sumit Kumar Ram and Geir Kulia. The current version of the software has been expanded by Trond Hübertz Emaus and Lars-Erik Notevarp Bjørge to be compatible with Open BCI.

This software is part of research by several master students’ at NTNU’s department of Cybernetics.

Signal Analysis Lab AS develops the software that analyses these data. The company is dedicated to data from complex systems such as biological data. Some of the applications of the software are Brain Computer Interface and health monitoring and diagnosis.

Signal Analysis Lab AS is an NTNU spin-off that was awarded a FORNY grant by the Research Council of Norway in December 2016. The company is now in its consolidation phase in close collaboration with a team of professors at NTNU (Departments of Engineering Cybernetics, Electronics and Telecommunication and Electric Power Engineering).

SIGNAL ANALYSIS WEBSITE