@inproceedings{bb32ac70cdb14d40a7af3f8249e443d7,
title = "Beat Time: Dance Game with Motion Detection and Face Recognition",
abstract = "Currently, the electronic leisure and entertainment sector has been growing steadily and new technologies ensure an increase in entertainment values by improving the gaming experience. One of them is the remote interaction, which is presented as new ways to control video games, becoming more and more popular exergame type games. Therefore, the objective of this work has been to develop a video game on the Unity 3D game engine, whose interface works remotely with the movement of the hands, offering an immersive experience. In addition to this, differential factors such as face recognition and motion detection with the Kinect v2.0 depth camera have been used, to be subsequently evaluated by a group of players. Hence, demonstrating the applicability of agile methodologies and the use of Game Development using limited resources.",
keywords = "Dance video game, Exergame, Face recognition, Motion detection, Satisfaction, Technologies, Videojuego, Windows Kinect",
author = "Anthony Anca and Jerber Valentin and Alfredo Barrientos and Miguel Cuadros",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2nd IEEE Engineering International Research Conference, EIRCON 2021 ; Conference date: 27-10-2021 Through 29-10-2021",
year = "2021",
doi = "10.1109/EIRCON52903.2021.9613348",
language = "Ingl{\'e}s",
series = "Proceedings of the 2021 IEEE Engineering International Research Conference, EIRCON 2021",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "Proceedings of the 2021 IEEE Engineering International Research Conference, EIRCON 2021",
}