A Deep Learning Approach for Robust Head Pose Independent Eye Movements Recognition from Videos
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In this paper, we analyze complex gaze tracking data in a collaborative task and apply machine learning models to automatically predict skill-level differences between participants. Specifically, we present findings that address the two primary challenges ...
The use of dual eye-tracking is investigated in a collabora- tive game setting. Social context influences individual gaze and action during a collaborative Tetris game: results show that experts as well as novices adapt their playing style when interacting ...
The eye structure and function highly depend on the stability of the intraocular pressure (IOP). Glaucoma is an ophthalmic disease that can potentially lead to irreversible blindness. Glaucoma results from optic nerve damages due to persistent elevated IOP ...
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Image Inpainting is referred to as the art of removing objects from the image in a visually plausible manner so that it seems reasonable to the human eye. There have been several approaches proposed for the same. In this paper, we present an algorithm that ...
We apply an adapted version of Particle Swarm Optimization to distributed unsupervised robotic learning in groups of robots with only local information. The performance of the learning technique for a simple task is compared across robot groups of various ...
A parallel Frequency Domain Optical Coherence Tomography (FD-OCT) system and - to the best of our knowledge- first in vivo tomograms obtained with such system are presented. A full tomogram of 256(x) x 512(z) pixels covering a sample region of 8 mm x 3,8 m ...
The work of this thesis centers around the research subject of distributed robotic search. Within the field of distributed robotic systems, a task of particular interest is attempting to locate one or more targets in a possibly unknown environment. While n ...
This paper addresses qualitative and quantitative diversity and specialization issues in the frame- work of self-organizing, distributed, artificial systems. Both diversity and specialization are obtained via distributed learning from initially homogeneous ...
We present a high speed full range spectral domain optical coherence tomography system. By inserting a phase modulator into the reference arm and recording of every other spectrum with a 90° phase shift (introduced by the phase modulator) we are able to di ...
This paper addresses qualitative and quantitative diversity and specialization issues in the framework of selforganizing, distributed, artificial systems. Both diversity and specialization are obtained via distributed learning from initially homogeneous sw ...