This study delves into the critical issue of Digital Twin (DT) technology standardization,
focusing on introducing a novel approach called “correspondence measure.” We draw upon …

Co‐speech gestures are a vital ingredient in making virtual agents more human‐like and
engaging. Automatically generated gestures based on speech‐input often lack realistic and …

Motion capture data describe human movements in the form of spatio-temporal trajectories
of skeleton joints. Intelligent management of such complex data is a challenging task for …

Dancing is a very popular entertainment activity which is, however, quite difficult to learn.
Our objective is to facilitate the traditional dance-learning process–based on imitating …

Motion capture data digitally represent human movements by sequences of body
configurations in time. Subsequence searching in long sequences of such spatio-temporal …

Digital technologies can help with preservation of cultural heritage and virtual reality can be
used for that purpose. In this paper, a virtual reality application that has the potential of …

The use of human gait as the means of biometric identification has gained a lot of attention
in the past few years, mostly due to its enormous potential. Such biometrics can be captured …

In the field of gait recognition from motion capture data, designing human-interpretable gait
features is a common practice of many fellow researchers. To refrain from ad-hoc schemes …

Motion capture data digitally represent human movements by sequences of body
configurations in time. Searching in such spatio-temporal data is difficult as query-relevant …

In strength training, personalised strength training (autoregulation) approaches have been
used to individualise exercise programs with monitoring for dynamic adjustment based on …