A novel embedded approach for the development of wireless electro-oculogram based human-computer interface

Human-computer interfacing plays an imperative role for the development of assistive technology. In this paper, we present a simple yet novel system that utilizes electro- oculogram signals for interactive innovation. The system intends to provide rehabilitation to the people with severe disability, especially individuals suffering from various neural disorders. In addition, the wireless transmission module makes the system robust for the real time implementation. The pilot experimental study demonstrates its potential applications in not only clinics but also in real-time prosthesis control.