Electrooculography-based continuous eye-writing recognition system for efficient assistive communication systems.

ABSTRACT: Human-computer interface systems whose input is based on eye movements can serve as a means of communication for patients with locked-in syndrome. Eye-writing is one such system; users can input characters by moving their eyes to follow the lines of the strokes corresponding to characters. Although this input method makes it easy for patients to get started because of their familiarity with handwriting, existing eye-writing systems suffer from slow input rates because they require a pause between input characters to simplify the automatic recognition process. In this paper, we propose a continuous eye-writing recognition system that achieves a rapid input rate because it accepts characters eye-written continuously, with no pauses. For recognition purposes, the proposed system first detects

SUBMITTER: Fang F 

PROVIDER: S-EPMC5806888 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature