New E-Learning opportunities based Artificial Neural Networks for Mobility impairments

Abstract

E-learning is becoming globally widespread and more common. The usefulness of interactive systems in e-learning lies not in performing the processing task itself but in communicating requests and results between the system and its user. Therefor the E-Learning can offer great chances to students with disabilities that can access its application through an alternative channel using Human- Computer interaction (HCI) methods. This paper tries to review the various methods of (HCI) used for mobility disabilities and implement one of these methods using Electrooculography (EOG) signals to write using a virtual keyboard.