Brain Wave Controlled Drone

Himanshu Salhotra, Yogesh Tickoo, Saksham Gandotra, Divya Jain

Abstract: Imagine a future where we can move anything with just our mind. The brain communicates through electrical signals and this is what allows us to interface the brain to electronic devices. Every movement of an individual is activated by the neurons in the brain. With the right tools and recent advancements in both brain imaging technologies and cognitive neuroscience, it is possible to read and record these processes.This has led to the rapidly growing field of brain computer interfaces (BCI). BCIs are systems that can bypass standard channels of communication (i.e., muscles and thoughts) to provide undeviated communication and control between the human brain and physical devices by interpreting different patterns of brain activity into commands in real time. The BCI even helps unblessed people to make use of devices and applications through their mental activities. People who are suffering from paralysis can communicate with the help of these new innovations. Stephen Hawkings is a famous example who uses Swift key?s language model/predictive technology which let others to understand about him. In this paper we are building cost effective drone and the main concept of this, is to let anyone hover the drone with his/her concentration or meditation level. The drone can be used from small applications in sports like drone racing up to large applications like military warfare. It works on the concept of Electroencephalogram (EEG). EEG is basically a procedure which is used to track and records brain wave patterns. The EEG signals are captured from user?s brain activity using EEG sensor which is placed on the user?s forehead. The hovering of drone is then decided based upon the process signal.

Keywords: Brain Computer Interface, Neuromuscular disorder, Electroencephalogram, Brain Sensor, Stephen Hawkings