George Chernyshov

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In this paper, we present a low cost way to track user's eye movements in a Google Cardboard Virtual Reality Headset. We use the Electrooculography (EOG) module from commercial disassembled smart glasses to augment a cardboard. We present a first signal level evaluation and concepts about VR interaction techniques using relative eye movements.
The Soviet-produced KDT-02M system, which is still widely used for dosimetric monitoring in countries of the former Soviet Union, was compared with the Harshaw 8800 system. The comparison consisted of two stages. In the first stage workplace radiation fields were simulated in the framework of the IAEA intercomparison. In the second stage the two systems(More)
In this paper we explore how to embed status information of IoT-enabled devices in the acoustic atmosphere using melodic ambient sounds while limiting obtrusiveness for the user. The user can use arbitrary sound samples to represent the devices he wants to monitor. Our system combines these sound samples into a melodic ambient rhythm that contains(More)
In order to address the problem of characterisation of high dose rate workplace fields, unique techniques and devices have been developed and tested. The kit of devices comprises a passive spectrometric system and six-vector collimator with thermoluminiscent detectors (TLDs) inside, allowing determination of the anisotropy of the radiation field, both(More)
In experiments on rats with left coronary artery occlusion, p-tyrosol (20 mg/kg, intravenously) showed the ability to decrease myocardial electric instability in phase 1b of ventricular arrhythmias: a fraction of rats without arrhythmia was increased by 36%, and the mean value of ventricular arrhythmia index exhibited a 3-fold decrease.
In this paper we explore how to embed information into users' music playlists while limiting the obtrusiveness to the user. We focus on continuous over time information rather than discrete information (e.g. "monitoring traffic flow" versus "new email received"). We are presenting results for a traffic monitoring task (4 levels) for 10 users that are(More)
We are describing the first step towards the development of an unobtrusive open eyewear system for attention tracking in daily life situations. We are logging thermographic data from infrared imaging and electrooculographic readings from off-the-shelf smart glasses and measure cognitive engagement of people in different situations. We are identifying new(More)
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