GC-171 - Source Localization of Electroencephalogram (EEG) Waves with Convolutional Neural Network

GC-171 - Source Localization of Electroencephalogram (EEG) Waves with Convolutional Neural Network

This project investigates the use of deep learning for Heterogeneous robotics trajectory and communication planning which will be assisted by prioritizing by electroencephalogram (EEG) waves for the purpose of improvisation by different emotional responses of human subjects. The Convolutional Deep Learning  model is trained to recognize EEG reading corresponding to different usage of the heterogeneous robots which are then used as an additional(imitation) input to the Reinforcement Learning based robotic operation. This project mainly focuses on delivery drone and aerial base station drone operations from source to destination considering energy efficient path, shortest distance, charging points, and to avoid collisions. This investigation is also assessed if near real-time performance can be achieved for such  approach. Such a system can be useful in many domains including unmanned driving, drone air corridor etc.