Beat Time: Dance Game with Motion Detection and Face Recognition

Anthony Anca; Jerber Valentin; Alfredo Barrientos; Miguel Cuadros

doi:10.1109/EIRCON52903.2021.9613348

Beat Time: Dance Game with Motion Detection and Face Recognition

Anthony Anca
, Jerber Valentin
, Alfredo Barrientos
, Miguel Cuadros

Faculty of Engineering

Universidad Peruana de Ciencias Aplicadas

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	Proceedings of the 2021 IEEE Engineering International Research Conference, EIRCON 2021
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665444453
DOIs	https://doi.org/10.1109/EIRCON52903.2021.9613348
State	Published - 2021
Event	2nd IEEE Engineering International Research Conference, EIRCON 2021 - Virtual, Lima, Peru Duration: 27 Oct 2021 → 29 Oct 2021

Publication series

Name	Proceedings of the 2021 IEEE Engineering International Research Conference, EIRCON 2021

Conference

Conference	2nd IEEE Engineering International Research Conference, EIRCON 2021
Country/Territory	Peru
City	Virtual, Lima
Period	27/10/21 → 29/10/21

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Dance video game
Exergame
Face recognition
Motion detection
Satisfaction
Technologies
Videojuego
Windows Kinect

Access to Document

10.1109/EIRCON52903.2021.9613348

Cite this

Anca, A., Valentin, J., Barrientos, A., & Cuadros, M. (2021). Beat Time: Dance Game with Motion Detection and Face Recognition. In Proceedings of the 2021 IEEE Engineering International Research Conference, EIRCON 2021 (Proceedings of the 2021 IEEE Engineering International Research Conference, EIRCON 2021). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EIRCON52903.2021.9613348

Anca, Anthony ; Valentin, Jerber ; Barrientos, Alfredo et al. / Beat Time : Dance Game with Motion Detection and Face Recognition. Proceedings of the 2021 IEEE Engineering International Research Conference, EIRCON 2021. Institute of Electrical and Electronics Engineers Inc., 2021. (Proceedings of the 2021 IEEE Engineering International Research Conference, EIRCON 2021).

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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",

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Anca, A, Valentin, J, Barrientos, A & Cuadros, M 2021, Beat Time: Dance Game with Motion Detection and Face Recognition. in Proceedings of the 2021 IEEE Engineering International Research Conference, EIRCON 2021. Proceedings of the 2021 IEEE Engineering International Research Conference, EIRCON 2021, Institute of Electrical and Electronics Engineers Inc., 2nd IEEE Engineering International Research Conference, EIRCON 2021, Virtual, Lima, Peru, 27/10/21. https://doi.org/10.1109/EIRCON52903.2021.9613348

Beat Time: Dance Game with Motion Detection and Face Recognition. / Anca, Anthony; Valentin, Jerber; Barrientos, Alfredo et al.
Proceedings of the 2021 IEEE Engineering International Research Conference, EIRCON 2021. Institute of Electrical and Electronics Engineers Inc., 2021. (Proceedings of the 2021 IEEE Engineering International Research Conference, EIRCON 2021).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Beat Time

T2 - 2nd IEEE Engineering International Research Conference, EIRCON 2021

AU - Anca, Anthony

AU - Valentin, Jerber

AU - Barrientos, Alfredo

AU - Cuadros, Miguel

PY - 2021

Y1 - 2021

N2 - 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.

AB - 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.

KW - Dance video game

KW - Exergame

KW - Face recognition

KW - Motion detection

KW - Satisfaction

KW - Technologies

KW - Videojuego

KW - Windows Kinect

UR - https://www.scopus.com/pages/publications/85123385111

U2 - 10.1109/EIRCON52903.2021.9613348

DO - 10.1109/EIRCON52903.2021.9613348

M3 - Contribución a la conferencia

AN - SCOPUS:85123385111

T3 - Proceedings of the 2021 IEEE Engineering International Research Conference, EIRCON 2021

BT - Proceedings of the 2021 IEEE Engineering International Research Conference, EIRCON 2021

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 27 October 2021 through 29 October 2021

ER -

Anca A, Valentin J, Barrientos A, Cuadros M. Beat Time: Dance Game with Motion Detection and Face Recognition. In Proceedings of the 2021 IEEE Engineering International Research Conference, EIRCON 2021. Institute of Electrical and Electronics Engineers Inc. 2021. (Proceedings of the 2021 IEEE Engineering International Research Conference, EIRCON 2021). doi: 10.1109/EIRCON52903.2021.9613348

Beat Time: Dance Game with Motion Detection and Face Recognition

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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