Facilitating Object Detection and Recognition through Eye Gaze
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Date
2017-09-04
Publication Type
Conference Paper
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yes
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Abstract
When compared to image recognition, object detection is a much more challenging task because it requires the accurate real-time localization of an object in the target image. In interaction scenarios, this pipeline can be simplified by incorporating the users’ point of regard. Wearable eye trackers can estimate the gaze direction, but lack own processing capabilities. We enable mobile gaze-aware applications by developing an open-source platform which supports mobile eye tracking based on the Pupil headset and a smartphone running Android OS. Through our platform, we offer researchers and developers a rapid prototyping environment for gaze-enabled applications. We describe the concept, our current progress, and research implications.
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published
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Publisher
ETH Zurich
Event
19th International Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI 2017)
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Subject
Eye Tracking; Eye Gaze; Wearable Computing; HCI
Organisational unit
03528 - Mattern, Friedemann (emeritus) / Mattern, Friedemann (emeritus)