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Open Access Enhanced head-mounted eye tracking data analysis using super-resolution

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This paper proposes a novel framework for enhancing head-mounted eye tracking data analysis by utilizing state-of-art computer vision techniques. Recently, the development of mobile eye tracking sensors allowed researchers to explore more comprehensive eye movements in an unobtrusive environment. It opened a door that stationary eye tracking devices could never approach. Literature demonstrates applications of mobile eye tracking technology to fields such as psychology, education and learning, usability, marketing, and medical diagnostics. The eye tracking research community is interested in analyzing the details of what and where a person is looking at using large-scale head-mounted eye tracking data. We formulated this problem to be eye tracking video processing, which can be resolved by locating at region-of-interests (ROI) based on fixation location, cropping and zooming in the ROI and enhancing the partial image by super-resolution image transformation. Experimental results and evaluation using image quality measurements show the effectiveness, efficiency, and robustness of the proposed prototype system. Furthermore, we discuss and demonstrate potential real-time applications using the proposed framework with emphasis on using an Augmented Reality (AR) headset with eye tracking capabilities.
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Keywords: Augmented Reality headset with eye tracking capabilities; Head-mounted eye tracking data analysis; Museum tour application; Super-resolution image transformation

Document Type: Research Article

Publication date: January 13, 2019

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  • For more than 30 years, the Electronic Imaging Symposium has been serving those in the broad community - from academia and industry - who work on imaging science and digital technologies. The breadth of the Symposium covers the entire imaging science ecosystem, from capture (sensors, camera) through image processing (image quality, color and appearance) to how we and our surrogate machines see and interpret images. Applications covered include augmented reality, autonomous vehicles, machine vision, data analysis, digital and mobile photography, security, virtual reality, and human vision. IS&T began sole sponsorship of the meeting in 2016. All papers presented at EIs 20+ conferences are open access.

    Please note: For purposes of its Digital Library content, IS&T defines Open Access as papers that will be downloadable in their entirety for free in perpetuity. Copyright restrictions on papers vary; see individual paper for details.

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