A quadcopter controlled by brain concentration and eye blink

Brain computer interface (BCI) is a technology that enables a user to interact with the outside world by measuring and analysing signals associated with neural activity, and mapping an identified neural activity pattern to a behavior or action. In this work, an BCI system was developed where the operation of a quadcopter is controlled by identified brain concentration and eye blink patterns. A portable electroencephalography (EEG) headset is used to acquire neural signal around forehead and both eyes. Acquired EEG data are sent to a data processing computer wirelessly and processed in real-time. Identified brain concentration and eye blink patterns are associated with quadcopter operation commands and transmitted to the remote control that is modified to interface with the computer. The BCI system was evaluated by an experiment study and classification accuracy was calculated. Experimental results indicate that the system can achieve the expected performance without using EEG data from all channels and complicated data processing algorithms.