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Authors: Fernando Losilla and Francisca Rosique

Affiliation: Universidad Politécnica de Cartagena and Spain

Keyword(s): Exergame, Augmented Reality, Body Pose Estimation, OpenPose.

Related Ontology Subjects/Areas/Topics: Informatics in Control, Automation and Robotics ; Robotics and Automation ; Virtual Environment, Virtual and Augmented Reality

Abstract: Exergames have become very popular for fitness and rehabilitation purposes. They usually rely on RGB-D sensors to estimate human 3D body pose and, therefore, allow users to interact with virtual environments. Currently, a new generation of deep learning techniques enable the estimation of 2D body pose from video sequences. These video sequences could be augmented with the estimated pose and other virtual objects, resulting in augmented reality mirrors where players can see their reflection along with other visual cues that guide them through exercises. The main benefit of using this approach would be replacing RGB-D cameras with simpler and more widely available webcams. This approach is explored in this work with the development of the ExerCam exergame. This application relies on a single webcam and the OpenPose library to allow users to perform exercises where they have to reach virtual targets appearing on the screen. A preliminary study has been performed in order to explore the technical viability and usability of this application, with promising results. (More)


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Paper citation in several formats:
Losilla, F. and Rosique, F. (2019). An Augmented Reality Mirror Exergame using 2D Pose Estimation. In Proceedings of the 14th International Conference on Software Technologies - ICSOFT; ISBN 978-989-758-379-7; ISSN 2184-2833, SciTePress, pages 643-648. DOI: 10.5220/0007798906430648

author={Fernando Losilla. and Francisca Rosique.},
title={An Augmented Reality Mirror Exergame using 2D Pose Estimation},
booktitle={Proceedings of the 14th International Conference on Software Technologies - ICSOFT},


JO - Proceedings of the 14th International Conference on Software Technologies - ICSOFT
TI - An Augmented Reality Mirror Exergame using 2D Pose Estimation
SN - 978-989-758-379-7
IS - 2184-2833
AU - Losilla, F.
AU - Rosique, F.
PY - 2019
SP - 643
EP - 648
DO - 10.5220/0007798906430648
PB - SciTePress