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Reliable switching mechanism for low cost multi-screen eye tracking devices via deep recurrent neural networks

conference contribution
posted on 2019-01-16, 00:00 authored by K Saleh, Julie Hani Iskander, D Jia, Mohammed Hossny, Saeid Nahavandi, C Best, S Hosking, B Rice, Asim BhattiAsim Bhatti, Samer HanounSamer Hanoun
The development of eye tracking-based applications has witnessed a number of advancements over the past few years. As a result, a number of low cost commercial remote vision-based eye trackers started to appear in the market. Consequently, a number of research communities started to explore the feasibility of extending the eye-tracking capabilities beyond single computer screen and utilize it in multi-screen setup. One of the main challenges for the wide adoption of such eye trackers in multi-screen setup, is their limitations when it comes to an intuitive and reliable way for tracking human eye movements across these multiple screens without losing much of the eye tracking data itself. In this work, a novel data-driven approach based on deep recurrent neural networks for a reliable and responsive switching mechanism between low cost multi-screen eye trackers is proposed. Our approach has achieved a competent results in terms of higher accuracy and lower positive rate in detecting accurately the screen the subject is attending to with F1 measure score of 85%.

History

Event

IEEE Systems, Man and Cybernetics Society. Conference (2018 : Miyazaki, Japan)

Series

IEEE Systems, Man and Cybernetics Society Conference

Pagination

3492 - 3497

Publisher

Institute of Electrical and Electronics Engineers

Location

Miyazaki, Japan

Place of publication

Piscataway, N.J.

Start date

2018-10-07

End date

2018-10-10

ISBN-13

9781538666500

Language

eng

Publication classification

E1 Full written paper - refereed

Copyright notice

2018, IEEE

Editor/Contributor(s)

[Unknown]

Title of proceedings

SMC 2018 : The making of a human-centereed cyber world : Proceedings of the 2018 IEEE International Conference on Systems, Man, and Cybernetics