3D gaze tracking method using Purkinje images on eye optical model and pupil

Lee, Ji Woo; Cho, Chul Woo; Shin, Kwang Yong; Lee, Eui Chul; Park, Kang Ryoung

doi:10.1016/j.optlaseng.2011.12.001

Cited by 70 publications

(61 citation statements)

References 21 publications

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“…Because of the reliability of Kinect v2 accuracy, the method is very suitable with accurate 3D NUI, and also, it can use intelligent vehicle apps. There is several 3D-based gaze-tracking methods despite the computation overhead, because of better accuracy results compared to 2D based [19,20]. The result of an experiment in this paper shows the outstanding accuracy based on the proposed combined gaze-tracking system.…”

Section: Related Workmentioning

confidence: 78%

Advances in next era cloud-empowered computing and techniques

Hung

2017

J Supercomput

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Section: Related Workmentioning

confidence: 78%

Advances in next era cloud-empowered computing and techniques

Hung

2017

J Supercomput

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“…Second, we plan to integrate EyeAR into an OST-HMD by either miniaturizing, or replicating, the function of the autorefractometer, for example through use of eye tracking cameras as described in [36,37,39]. Third, we will refine our methodology for conducting AR Turing Tests and carry out several more.…”

Section: Discussionmentioning

confidence: 99%

“…Some methods use the variance in the reflection of infrared LEDs on the lens of the eye to estimate the focus depth [36]. Others distinguish between different focus planes [37,38] or estimate the focus through intersection of the gaze with scene geometry [39]. However, they do not provide continuous measurements that are necessary for correct DoF representation.…”

Section: Measuring the Eyementioning

confidence: 99%

“…EyeAR could be applied with any of the methods mentioned above, as long as the system is capable of acquiring accurate measurements of the user's focus distance, e.g., through [36,37]. Although it is possible to build a portable prototype of the system using eye tracking solutions, we opted to create a tabletop prototype that uses the autorefractometer, as it offers the highest accuracy and reliability among the available options.…”

Section: Measuring the Eyementioning

confidence: 99%

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EyeAR: Refocusable Augmented Reality Content through Eye Measurements

Rompapas

Rovira

Plopski

et al. 2017

MTI

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Augmented Reality (AR) superimposes computer graphics (CG) onto a user's view of the real world. A key quality problem in this field is to achieve coherence between reality and CG when the user's eyes refocus or change pupil size. We designed and evaluated a display that improves coherence by measuring the user's eye state and continuously adapting CG accordingly. Our tabletop prototype emulates an Optical See-Through Head-Mounted Display, a common AR display device. In our evaluation, participants observed three pillars at different depths. We then challenged them to identify a virtual pillar among the three while freely refocusing their eyes. Results show that our design significantly improved realism. Compared to Light Field Displays, our design aims to simplify display-optics while providing similar quality. We could only partially achieve this goal. We discuss the lessons we learned and how we plan to overcome the remaining challenges. The experimental protocol from our evaluation is useful for display developers as it can be used to measure the coherence of a display.

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“…Work of Lee et al [16] addresses the third dimension of such interface with a head mounted device that calculates the point of regard of the user in space, not only identifying the x and y coordinate of the point of regard, but also the depth depicted by the z coordinate. Kocejko et al [17] also focused on the head mounted device.…”

Section: Ambient User Interfacesmentioning

confidence: 99%

Tools Used in Ambient User Interfaces

Galko¹,

Porubãn²

2016

AEI

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Research of ambient user interfaces is popular among many researchers. The main idea is that a user interface would react onto its user and would execute reactions on his/her actions. Main problem with creating ambient user interface is that for different domains the human-computer interaction changes. In this article we investigate different tools that are employed in ambient user interface and the different approaches how they are used. We focus mainly on the use of the multi-display set-up, touch screens, kinect, eye-tracking devices and brain-computer interface technology. We propose approaches how they can be utilized in an ambient user interface, how they affect the user and how they can be used for the evaluation of ambient user interface. It is essential for future research that these measures evaluate the efficiency of the use of ambient user interface in different domains. We briefly analyze natural user interface and its association to ambient user interface. In the conclusion we establish the steps for the future research of this topic.

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3D gaze tracking method using Purkinje images on eye optical model and pupil

Cited by 70 publications

References 21 publications

Advances in next era cloud-empowered computing and techniques

Advances in next era cloud-empowered computing and techniques

EyeAR: Refocusable Augmented Reality Content through Eye Measurements

Tools Used in Ambient User Interfaces

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