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Man-Machine Interactions 6

6th International Conference on Man-Machine Interactions, ICMMI 2019, Cracow, Poland, October 2-3, 2019

  • Conference proceedings
  • © 2020

Overview

Editors:
  1. Aleksandra Gruca

    1. Institute of Informatics, Silesian University of Technology, Gliwice, Poland

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  2. Tadeusz Czachórski

    1. Institute of Theoretical and Applied Informatics, Polish Academy of Sciences, Gliwice, Poland

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  3. Sebastian Deorowicz

    1. Institute of Informatics, Silesian University of Technology, Gliwice, Poland

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  4. Katarzyna Harężlak

    1. Institute of Informatics, Silesian University of Technology, Gliwice, Poland

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  5. Agnieszka Piotrowska

    1. Institute of Informatics, Silesian University of Technology, Gliwice, Poland

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  • Discusses recent research on man-machine interactions
  • Presents the proceedings of the International Conference on Man-Machine Interactions, ICMMI 2019, held on 2–4 October 2019 in Poland
  • Written by leading experts in the field

Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 1061)

Included in the following conference series:

Conference proceedings info: ICMMI 2019.

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Table of contents (24 papers)

  1. Front Matter

    Pages i-xv
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  2. Human-Computer Interfaces

    1. Front Matter

      Pages 1-1
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    2. Head-Based Text Entry Methods for Motor-Impaired People

      • Krzysztof Dobosz, Dominik Popanda, Adrian Sawko
      Pages 3-11

    3. VEEP—The System for Motion Tracking in Virtual Reality

      • Przemysław Kowalski, Krzysztof Skabek, Jan Mrzygłód
      Pages 12-22

    4. 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

    5. Spatio-Temporal Filtering for Evoked Potentials Detection

      • Michał Piela, Marian Kotas, Sonia Helena Contreras Ortiz
      Pages 34-43

    6. A Review on the Vehicle to Vehicle and Vehicle to Infrastructure Communication

      • Krzysztof Tokarz
      Pages 44-52

  3. Artificial Intelligence and Knowledge Discovery

    1. Front Matter

      Pages 53-53
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    2. 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

    3. Ensembles of Active Adaptive Incremental Classifiers

      • Michał Kozielski, Krzysztof Kozieł
      Pages 66-76

    4. Influence of the Applied Outlier Detection Methods on the Quality of Classification

      • Błażej Moska, Daniel Kostrzewa, Robert Brzeski
      Pages 77-88

    5. Predictive Algorithms in Social Sciences – Problematic Internet Use Example

      • Eryka Probierz, Wojciech Sikora, Adam Gałuszka, Anita Gałuszka
      Pages 89-98

    6. FIT2COMIn – Robust Clustering Algorithm for Incomplete Data

      • Krzysztof Siminski
      Pages 99-110

    7. GrFCM – Granular Clustering of Granular Data

      • Krzysztof Siminski
      Pages 111-121

  4. Pattern Recognition

    1. Front Matter

      Pages 123-123
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    2. Evaluation of Cosine Similarity Feature for Named Entity Recognition on Tweets

      • Onur Büyüktopaç, Tankut Acarman
      Pages 125-135

    3. Deep Recurrent Neural Networks for Human Activity Recognition During Skiing

      • Magdalena Pawlyta, Marek Hermansa, Agnieszka Szczęsna, Mateusz Janiak, Konrad Wojciechowski
      Pages 136-145

    4. 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

    5. On Unsupervised and Supervised Discretisation in Mining Stylometric Features

      • Urszula Stańczyk
      Pages 156-166

  5. Bio-Data and Bio-Signal Analysis

    1. Front Matter

      Pages 167-167
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Other volumes

  1. Man-Machine Interactions 6

Keywords

About this book

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.

Editors and Affiliations

  • Institute of Informatics, Silesian University of Technology, Gliwice, Poland

    Aleksandra Gruca, Sebastian Deorowicz, Katarzyna Harężlak, Agnieszka Piotrowska

  • Institute of Theoretical and Applied Informatics, Polish Academy of Sciences, Gliwice, Poland

    Tadeusz Czachórski

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