Using computer vision in the gameplay of educational computer games

This article discusses the use of computer vision elements in an educational game developed with the Unity3D game engine. The game is aimed at teaching and developing the skills of students in mathematics, physics, programming. For the development of educational games, it is necessary to completely...

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Published in:Journal of physics. Conference series Vol. 1989; no. 1; pp. 12011 - 12016
Main Authors: Chursin, G, Semenov, M
Format: Journal Article
Language:English
Published: Bristol IOP Publishing 01.08.2021
Subjects:
Computer & video games
Computer vision
Education
Games
Histograms
Image segmentation
Microcontrollers
Students
Support vector machines
ISSN:1742-6588, 1742-6596
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Abstract This article discusses the use of computer vision elements in an educational game developed with the Unity3D game engine. The game is aimed at teaching and developing the skills of students in mathematics, physics, programming. For the development of educational games, it is necessary to completely change the approach to their development. We assume that the introduction of modern technologies, namely computer vision and microcontrollers, will attract students to the study of technology. This paper examines the possibility of introducing computer vision into the gameplay in real time. We propose to use image segmentation based on the oriented gradient histogram functions. We achieve 98 % accuracy using support vector machines for classification
AbstractList This article discusses the use of computer vision elements in an educational game developed with the Unity3D game engine. The game is aimed at teaching and developing the skills of students in mathematics, physics, programming. For the development of educational games, it is necessary to completely change the approach to their development. We assume that the introduction of modern technologies, namely computer vision and microcontrollers, will attract students to the study of technology. This paper examines the possibility of introducing computer vision into the gameplay in real time. We propose to use image segmentation based on the oriented gradient histogram functions. We achieve 98 % accuracy using support vector machines for classification
Author Chursin, G
Semenov, M
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  organization: National Research Tomsk Polytechnic University , , Russia
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Cites_doi 10.1016/j.compedu.2014.01.007
10.1016/j.jvcir.2019.05.007
10.5120/20084-2026
ContentType Journal Article
Copyright Published under licence by IOP Publishing Ltd
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SubjectTerms Computer & video games
Computer vision
Education
Games
Histograms
Image segmentation
Microcontrollers
Students
Support vector machines
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