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Inheritance software metrics on smart contracts
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Context-based smart contracts for appendable-block blockchains
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Eyemotion: Classifying facial expressions in VR using eye-tracking cameras
One of the main challenges of social interaction in virtual reality sett...
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The Eye of Horus: Spotting and Analyzing Attacks on Ethereum Smart Contracts
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Photosensor Oculography: Survey and Parametric Analysis of Designs using Model-Based Simulation
This paper presents a renewed overview of photosensor oculography (PSOG)...
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An Adaptive Algorithm for Precise Pupil Boundary Detection using Entropy of Contour Gradients
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Bionic Tracking: Using Eye Tracking to Track Biological Cells in Virtual Reality
We present Bionic Tracking, a novel method for solving biological cell t...
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Eye Tracking Data Collection Protocol for VR for Remotely Located Subjects using Blockchain and Smart Contracts
Eye tracking data collection in the virtual reality context is typically carried out in laboratory settings, which usually limits the number of participants or consumes at least several months of research time. In addition, under laboratory settings, subjects may not behave naturally due to being recorded in an uncomfortable environment. In this work, we propose a proof-of-concept eye tracking data collection protocol and its implementation to collect eye tracking data from remotely located subjects, particularly for virtual reality using Ethereum blockchain and smart contracts. With the proposed protocol, data collectors can collect high quality eye tracking data from a large number of human subjects with heterogeneous socio-demographic characteristics. The quality and the amount of data can be helpful for various tasks in data-driven human-computer interaction and artificial intelligence.
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