• Assessment of Machine Learning Models for Classification of Movement Patterns During a Weight-Shifting Exergame 

      Vonstad, Elise Klæbo; Su, Xiaomeng; Vereijken, Beatrix; Bach, Kerstin; Nilsen, Jan Harald (Peer reviewed; Journal article, 2021)
      In exercise gaming (exergaming), reward systems are typically based on rules/templates from joint movement patterns. These rules or templates need broad ranges in definitions of correct movement patterns to accommodate ...
    • A Multi-Stream Sequence Learning Framework for Human Interaction Recognition 

      Haroon, Umair; Ullah, Amin; Hussain, Tanveer; Ullah, Waseem; Sajjad, Muhammad; Muhammad, Khan; Lee, Mi Young; Baik, Sung Wook (Peer reviewed; Journal article, 2022)
      Human interaction recognition (HIR) is challenging due to multiple humans’ involvement and their mutual interaction in a single frame, generated from their movements. Mainstream literature is based on three-dimensional ...