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Authors: Ke Liang 1 ; Youssef Chahir 1 ; Michèle Molina 2 ; Charles Tijus 1 and François Jouen 1

Affiliations: 1 EPHE Paris, France ; 2 University of Caen, France

Keyword(s): Appearance Eye Descriptor, Appearance-based Method, Manifold Learning, Spectral Clustering, Humancomputer Interaction.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Computer Vision, Visualization and Computer Graphics ; Enterprise Information Systems ; Human and Computer Interaction ; Human-Computer Interaction

Abstract: Eye-movements are increasingly employed to study usability issues in HCI (Human-Computer Interacetion) contexts. In this paper we introduce our appearance-based eye control system which utilizes 5 specific eye movements, such as closed-eye movement and eye movements with gaze fixation at the positions (up, down, right, left) for HCI applications. In order to measure these eye movements, we employ a fast appeance-based gaze tracking method with manifold learning technique. First we propose to concatenate local eye appearance Center-Symmetric Local Binary Pattern(CS-LBP) descriptor for each subregion of eye image to form an eye appearance feature vector. The calibration phase is then introduced to construct a trainning samples by spectral clustering. After that, Laplacian Eigenmaps will be applied to the trainning set and unseen input together to get the structure of eye manifolds. Finally we can infer the eye movement of the new input by its distances with the clusters in the trainnin g set. Experimental results demonstrate that our system with quick 4-points calibration not only can reduce the run-time cost, but also provide another way to mesure eye movements without mesuring gaze coordinates to a HCI application such as our eye control system. (More)


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Paper citation in several formats:
Liang, K.; Chahir, Y.; Molina, M.; Tijus, C. and Jouen, F. (2014). Appearance-based Eye Control System by Manifold Learning. In Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2014) ISBN 978-989-758-009-3; ISSN 2184-4321, pages 148-155. DOI: 10.5220/0004682601480155

author={Ke Liang. and Youssef Chahir. and Michèle Molina. and Charles Tijus. and Fran\c{C}ois Jouen.},
title={Appearance-based Eye Control System by Manifold Learning},
booktitle={Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2014)},


JO - Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2014)
TI - Appearance-based Eye Control System by Manifold Learning
SN - 978-989-758-009-3
IS - 2184-4321
AU - Liang, K.
AU - Chahir, Y.
AU - Molina, M.
AU - Tijus, C.
AU - Jouen, F.
PY - 2014
SP - 148
EP - 155
DO - 10.5220/0004682601480155