69 citations · 156 across the 32 of their papers we have counts for
6 papers · 1 filter
Detecting Video Game Player Burnout with the Use of Sensor Data and Machine Learning
Anton Smerdov, Andrey Somov, Evgeny Burnaev +2
Current research in eSports lacks the tools for proper game practising and performance analytics. The majority of prior work relied only on in-game data for advising the players on…
Yet it moves: Learning from Generic Motions to Generate IMU data from YouTube videos
Vitor Fortes Rey, Kamalveer Kaur Garewal, Paul Lukowicz
Human activity recognition (HAR) using wearable sensors has benefited much less from recent advances in Machine Learning than fields such as computer vision and natural language pr…
Collection and Validation of Psychophysiological Data from Professional and Amateur Players: a Multimodal eSports Dataset
Anton Smerdov, Bo Zhou, Paul Lukowicz +1
Proper training and analytics in eSports require accurately collected and annotated data. Most eSports research focuses exclusively on in-game data analysis, and there is a lack of…
Discriminative feature generation for classification of imbalanced data
Sungho Suh, Paul Lukowicz, Yong Oh Lee
The data imbalance problem is a frequent bottleneck in the classification performance of neural networks. In this paper, we propose a novel supervised discriminative feature genera…
Fusion of Global-Local Features for Image Quality Inspection of Shipping Label
Sungho Suh, Paul Lukowicz, Yong Oh Lee
The demands of automated shipping address recognition and verification have increased to handle a large number of packages and to save costs associated with misdelivery. A previous…
The European Language Technology Landscape in 2020: Language-Centric and Human-Centric AI for Cross-Cultural Communication in Multilingual Europe
Georg Rehm, Katrin Marheinecke, Stefanie Hegele +44
Multilingualism is a cultural cornerstone of Europe and firmly anchored in the European treaties including full language equality. However, language barriers impacting business, cr…