Man-Machine Interactions 6: 6th International Conference on Man-Machine Interactions, ICMMI 2019, Cracow, Poland, October 2-3, 2019 (Advances in Intelligent Systems and Computing Book 1061)

This book includes a selection papers describing the latest advances and discoveries in the field of human-computer interactions, which were presented at the 6th International Conference on Man-Machine Interactions, ICMMI 2019, held in Cracow, Poland, in October 2019. Human-computer interaction is a multidisciplinary field concerned with the design of computer technology and, in particular, the interaction between humans (the users) and computers. Over recent decades, this field has expanded from its initial focus on individual and generic user behavior to the widest possible spectrum of human experiences and activities. The book features papers covering a variety of topics, which are divided into five sections: 'human-computer interfaces, ' 'artificial intelligence and knowledge discovery, ' 'pattern recognition, ' 'bio-data and bio-signal analysis, ' and 'algorithms, optimization and signal processing.' Presenting the latest research in the field, this book provides a valuable reference resource for academics, industry practitioners and students Front Matter ....Pages i-xv Front Matter ....Pages 1-1 Head-Based Text Entry Methods for Motor-Impaired People (Krzysztof Dobosz, Dominik Popanda, Adrian Sawko)....Pages 3-11 VEEP—The System for Motion Tracking in Virtual Reality (Przemysław Kowalski, Krzysztof Skabek, Jan Mrzygłód)....Pages 12-22 Immersive Virtual Reality for Assisting in Inclusive Architectural Design (Ewa Lach, Iwona Benek, Krzysztof Zalewski, Przemysław Skurowski, Agata Kocur, Aleksandra Kotula et al.)....Pages 23-33 Spatio-Temporal Filtering for Evoked Potentials Detection (Michał Piela, Marian Kotas, Sonia Helena Contreras Ortiz)....Pages 34-43 A Review on the Vehicle to Vehicle and Vehicle to Infrastructure Communication (Krzysztof Tokarz)....Pages 44-52 Front Matter ....Pages 53-53 Classifying Relation via Piecewise Convolutional Neural Networks with Transfer Learning (Yuting Han, Zheng Zhou, Haonan Li, Guoyin Wang, Wei Deng, Zhixing Li)....Pages 55-65 Ensembles of Active Adaptive Incremental Classifiers (Michał Kozielski, Krzysztof Kozieł)....Pages 66-76 Influence of the Applied Outlier Detection Methods on the Quality of Classification (Błażej Moska, Daniel Kostrzewa, Robert Brzeski)....Pages 77-88 Predictive Algorithms in Social Sciences – Problematic Internet Use Example (Eryka Probierz, Wojciech Sikora, Adam Gałuszka, Anita Gałuszka)....Pages 89-98 FIT2COMIn – Robust Clustering Algorithm for Incomplete Data (Krzysztof Siminski)....Pages 99-110 GrFCM – Granular Clustering of Granular Data (Krzysztof Siminski)....Pages 111-121 Front Matter ....Pages 123-123 Evaluation of Cosine Similarity Feature for Named Entity Recognition on Tweets (Onur Büyüktopaç, Tankut Acarman)....Pages 125-135 Deep Recurrent Neural Networks for Human Activity Recognition During Skiing (Magdalena Pawlyta, Marek Hermansa, Agnieszka Szczęsna, Mateusz Janiak, Konrad Wojciechowski)....Pages 136-145 Recognition of Tennis Shots Using Convolutional Neural Networks Based on Three-Dimensional Data (Maria Skublewska-Paszkowska, Edyta Lukasik, Bartłomiej Szydlowski, Jakub Smolka, Pawel Powroznik)....Pages 146-155 On Unsupervised and Supervised Discretisation in Mining Stylometric Features (Urszula Stańczyk)....Pages 156-166 Front Matter ....Pages 167-167 LCR-BLAST—A New Modification of BLAST to Search for Similar Low Complexity Regions in Protein Sequences (Patryk Jarnot, Joanna Ziemska-Legięcka, Marcin Grynberg, Aleksandra Gruca)....Pages 169-180 Risk Susceptibility of Brain Tumor Classification to Adversarial Attacks (Jai Kotia, Adit Kotwal, Rishika Bharti)....Pages 181-187 Prediction of Drug Potency and Latent Relation Analysis in Precision Cancer Treatment (Jai Kotia, Rishika Bharti, Adit Kotwal)....Pages 188-195 Predictions of Age and Mood Based on Changes in Saccades Parameters (Albert Sledzianowski)....Pages 196-205 Front Matter ....Pages 207-207 Using Copula and Quantiles Evolution in Prediction of Multidimensional Distributions for Better Query Selectivity Estimation (Dariusz Rafal Augustyn)....Pages 209-220 Audio-Visual TV Broadcast Signal Segmentation (Josef Chaloupka)....Pages 221-228 Optimizing Training Data and Hyperparameters of Support Vector Machines Using a Memetic Algorithm (Wojciech Dudzik, Michal Kawulok, Jakub Nalepa)....Pages 229-238 Induction of Centre-Based Biclusters in Terms of Boolean Reasoning (Marcin Michalak)....Pages 239-248 Issues on Performance of Reactive Programming in the Java Ecosystem with Persistent Data Sources (Lukasz Wycislik, Lukasz Ogorek)....Pages 249-258 Back Matter ....Pages 259-260