activity
20172021
most citedA Predictive Model for Steady-State Multiphase Pipe Flow: Machine Learning on Lab Data

103 citations · 169 across the 13 of their papers we have counts for

collaborators
Showing cs.HCShow all

5 papers · 1 filter

cs.HC2019

Understanding Cyber Athletes Behaviour Through a Smart Chair: CS:GO and Monolith Team Scenario

Anton Smerdov, Anastasia Kiskun, Rostislav Shaniiazov +2

eSports is the rapidly developing multidisciplinary domain. However, research and experimentation in eSports are in the infancy. In this work, we propose a smart chair platform - a…

cs.HC2019

Sensors and Game Synchronization for Data Analysis in eSports

Anton Stepanov, Andrey Lange, Nikita Khromov +3

eSports industry has greatly progressed within the last decade in terms of audience and fund rising, broadcasting, networking and hardware. Since the number and quality of professi…

cs.HC2019

Towards Understanding of eSports Athletes' Potentialities: The Sensing System for Data Collection and Analysis

Alexander Korotin, Nikita Khromov, Anton Stepanov +3

eSports is a developing multidisciplinary research area. At present, there is a lack of relevant data collected from real eSports athletes and lack of platforms which could be used…

cs.HC2019

eSports Pro-Players Behavior During the Game Events: Statistical Analysis of Data Obtained Using the Smart Chair

Anton Smerdov, Evgeny Burnaev, Andrey Somov

Today's competition between the professional eSports teams is so strong that in-depth analysis of players' performance literally crucial for creating a powerful team. There are two…

cs.HC2019

Visual Fixations Duration as an Indicator of Skill Level in eSports

Boris B. Velichkovsky, Nikita Khromov, Alexander Korotin +2

Using highly interactive systems like computer games requires a lot of visual activity and eye movements. Eye movements are best characterized by visual fixation - periods of time…