Episcleral surface tracking

Borsato, Frank H.; Morimoto, Carlos H.

doi:10.1145/2857491.2857496

Cited by 5 publications

(1 citation statement)

References 19 publications

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“…Domburg [7] implemented a simple handheld scanner by reading out the raw image from the sensor and stitching multiple images together. Borsato and Morimoto [3] explored whether a mouse sensor could be used for eye-tracking. Schüsselbauer et al [24] built a tangible with an embedded mouse sensor that allowed it to distinguish different textures printed on a piece of paper and activate a corresponding mode.…”

Section: Using Mouse Sensors For Trackingmentioning

confidence: 99%

Dothraki: Tracking Tangibles Atop Tabletops Through De-Bruijn Tori

Schüsselbauer

Schmid

Wimmer

2021

Proceedings of the Fifteenth International Conference on Tangible, Embedded, and Embodied Interaction

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Tangibles are small, graspable objects that act as input devices or physical representations of digital data. Oftentimes, it is desirable to track the position of tangibles on a surface and their relation to each other. However, outside-in tracking techniques -such as capacitive touchscreens or cameras -require setting up elaborate infrastructure and are prone to occlusion or interference. We propose Dothraki, an inside-out tracking technique for tangibles on flat surfaces. An optical mouse sensor embedded in the tangible captures a small (36×36 pixel / 1×1 mm), unique section of a black-and-white De-Bruijn dot pattern printed on the surface. Our system efficiently searches the pattern space in order to determine the precise location of the tangible with sub-millimeter accuracy. Our proof-of-concept implementation offers a recognition rate of up to 95%, robust error detection, an update rate of 14 Hz, and a low-latency relative tracking mode. CCS CONCEPTS• Human-centered computing → Interaction devices; Mixed / augmented reality.

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Section: Using Mouse Sensors For Trackingmentioning

confidence: 99%

Dothraki: Tracking Tangibles Atop Tabletops Through De-Bruijn Tori

Schüsselbauer

Schmid

Wimmer

2021

Proceedings of the Fifteenth International Conference on Tangible, Embedded, and Embodied Interaction

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Optical Gaze Tracking with Spatially-Sparse Single-Pixel Detectors

Whitmire

Stengel

et al. 2020

2020 IEEE International Symposium on Mixed and Augmented Reality (ISMAR)

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InvisibleEye

Tonsen

Steil

Sugano

et al. 2017

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.

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Analysis of everyday human gaze behaviour has significant potential for ubiquitous computing, as evidenced by a large body of work in gaze-based human-computer interaction, attentive user interfaces, and eye-based user modelling. However, current mobile eye trackers are still obtrusive, which not only makes them uncomfortable to wear and socially unacceptable in daily life, but also prevents them from being widely adopted in the social and behavioural sciences. To address these challenges we present InvisibleEye, a novel approach for mobile eye tracking that uses millimetre-size RGB cameras that can be fully embedded into normal glasses frames. To compensate for the cameras’ low image resolution of only a few pixels, our approach uses multiple cameras to capture different views of the eye, as well as learning-based gaze estimation to directly regress from eye images to gaze directions. We prototypically implement our system and characterise its performance on three large-scale, increasingly realistic, and thus challenging datasets: 1) eye images synthesised using a recent computer graphics eye region model, 2) real eye images recorded of 17 participants under controlled lighting, and 3) eye images recorded of four participants over the course of four recording sessions in a mobile setting. We show that InvisibleEye achieves a top person-specific gaze estimation accuracy of 1.79° using four cameras with a resolution of only 5 × 5 pixels. Our evaluations not only demonstrate the feasibility of this novel approach but, more importantly, underline its significant potential for finally realising the vision of invisible mobile eye tracking and pervasive attentive user interfaces.

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Episcleral surface tracking

Cited by 5 publications

References 19 publications

Dothraki: Tracking Tangibles Atop Tabletops Through De-Bruijn Tori

Dothraki: Tracking Tangibles Atop Tabletops Through De-Bruijn Tori

Optical Gaze Tracking with Spatially-Sparse Single-Pixel Detectors

InvisibleEye

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