Recent Submissions

  • Exergaming Experiences of Older Adults : A Critical Incident Study 

    Kari, Tuomas (University of Maribor, 2019)
    Exergaming is a form of digital gaming requiring physical effort from the player. There has been a growing interest towards exergaming in academia. However, only a very limited number of exergaming studies have given a ...
  • Digital Mental Health Resources for Children and Youth : Evaluation of Strengths in User Interface Design 

    Mehtälä, Saana; Kankaanranta, Marja; Rousi, Rebekah; Clements, Kati (Association for the Advancement of Computing in Education (AACE), 2019)
    The aim of this research is to explore the positive user interface (UI) design of digital mental health resources for children and youth. For this purpose, a heuristic model is introduced and heuristic evaluation is used ...
  • Implementation of Digital Portfolios in Early Childhood Education 

    Alanko, Maria; Kankaanranta, Marja; Kenttälä, Veera (Association for the Advancement of Computing in Education (AACE), 2019)
    Curricula, influenced by the digitalization, set requirements for early childhood education (ECE) settings to implement digital practices. However, ECE teachers are struggling to integrate information and communication ...
  • Simultaneous harvest-and-transmit ambient backscatter communications under Rayleigh fading 

    Jameel, Furqan; Ristaniemi, Tapani; Khan, Imran; Lee, Byong Moo (Springer, 2019)
    Ambient backscatter communications is an emerging paradigm and a key enabler for pervasive connectivity of low-powered wireless devices. It is primarily beneficial in the Internet of things (IoT) and the situations where ...
  • Assessment of Deep Learning Methodology for Self-Organizing 5G Networks 

    Asghar, Muhammad Zeeshan; Abbas, Mudassar; Zeeshan, Khaula; Kotilainen, Pyry; Hämäläinen, Timo (MDPI AG, 2019)
    In this paper, we present an auto-encoder-based machine learning framework for self organizing networks (SON). Traditional machine learning approaches, for example, K Nearest Neighbor, lack the ability to be precisely ...

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