Text composing software for disabled people, using blink and motion detection

Authors:
Philipp Hofmann;Matthias Söllner;Josef Pösl
Affiliations:
University of Applied Sciences Amberg-Weiden, Faculty of Electrical Engineering and Information Technology, Amberg, Germany;University of Applied Sciences Amberg-Weiden, Faculty of Electrical Engineering and Information Technology, Amberg, Germany;University of Applied Sciences Amberg-Weiden, Faculty of Electrical Engineering and Information Technology, Amberg, Germany
Venue:
ICCHP'10 Proceedings of the 12th international conference on Computers helping people with special needs
Year:
2010

Citing 3
Cited 0

Blink detection for real-time eye tracking

Journal of Network and Computer Applications
Facial feature detection using Haar classifiers

Journal of Computing Sciences in Colleges
Using triaxial acceleration sensors as input devices for disabled persons

ICCHP'10 Proceedings of the 12th international conference on Computers helping people with special needs

Quantified Score

Hi-index	0.00

Visualization

Abstract

We presentate a pc software to give disabled persons the possibility of writing texts without mouse and keyboard. Single letters and words are presented, scrolling over the screen. The suggested words are chosen from a self-learning database by frequency of their use. Although different kinds of binary input signals can be used, we focused on blink detection for choosing letters and words. Algorithms based on Haar Cascades are used for finding the eyes. We aim on low-cost realisation, therefore a state-of-the-art Windows based computer and a commercially available webcam is used. As an alternative input device we used a acceleration sensor for motion detection. We could successfully demonstrate quick text writing with different test persons.