Methods to Eye Gaze Interaction for Authentication
Yvonne Hwei-Syn Kam1, Kar Wing Kwong2, Vik Tor Goh3

1Yvonne Hwei-Syn Kam, Faculty of Engineering Multimedia University, Cyberjaya, Malaysia.
2Kar Wing Kwong, Faculty of Engineering Multimedia University, Cyberjaya, Selangor.
3Vik-Tor Goh, Faculty of Engineering Multimedia University, Cyberjaya, Malaysia.
Manuscript received on 26 September 2019 | Revised Manuscript received on 05 October 2019 | Manuscript Published on 22 October 2019 | PP: 152-156 | Volume-8 Issue-3S October 2019 | Retrieval Number: C10271083S19/2019©BEIESP | DOI: 10.35940/ijrte.C1027.1083S19
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (

Abstract: One of the methods touted to reduce shoulder surfing during onscreen authentication is eye gaze input. Eye gaze authentication methods have thus far relied on a few methods for selection of on screen objects, namely dwell time, blinking, eye gestures and pursuit of moving objects. This paper surveys the literature on the various approaches. From analysis of the advantages and drawbacks of the surveyed approaches, we find that the dwell method has advantages in security and usability. We then describe a method designed previously by the authors that enhances the dwell method by making use of peripheral vision. The proposed method is in the ideation stage.
Keywords: Survey, Shoulder Surfing, Gaze, Eye Tracking, Peripheral Vision.
Scope of the Article: Authentication, Authorization, Accounting