A Refined 3D Dataset for the Analysis of Player Actions in Exertion Games
Chrysoula Varia, Georgios Tsatiris, Kostas Karpouzis, Stefanos Kollias · 2018
Modeling and accurately analyzing human activities plays an important role, considering the rise of modern applications in human-computer interaction and, more recently, exertion games. Especially in serious exergames aimed at tutoring (e.g. sports) or rehabilitation and physiotherapy, the need for accurate detection of the human body and its motion is uncompromising. However, modern human skeleton tracking techniques suffer from a variety of issues, such as jittering and sensitivity to original conditions. In this study we show how a simple yet effective fairing pipeline on an inherently noisy dataset can produce data capable for precise experimentation with state-of-the-art human action modeling algorithms.