OS21-2 Proposal of Interactive Projection Mapping using Human Detection by Machine Learning

Title:	OS21-2 Proposal of Interactive Projection Mapping using Human Detection by Machine Learning
Publication:	ICAROB2020
Volume:	25
Pages:	732-735
ISSN:	2188-7829
DOI:	10.5954/ICAROB.2020.OS21-2
Author(s):	Takahiro Shinoda, Makoto Sakamoto, Takahiro Ishizu, Kenji Sakoma, Amane Takei, Takao Ito
Publication Date:	January 13, 2020
Keywords:	Entertainment Computing, EC, Projection Mapping, Kinect
Abstract:	In recent years, "Entertainment Computing" (EC) has attracted attention and has become one of the major industries in Japan. "Projection Mapping" is well known in this EC. Projection mapping is a video technology that creates a new space by synthesizing space and video using a projector. Among them, many people are fascinated by works that create a fantastic world by combining dancer performance and projection mapping. However, these works require the performer to accurately align with the coordinates of the image objects in the projection mapping, which is not easy for everyone. In this study, we aim to entertain not only the people who see the projection mapping but also performers. Therefore, we have prototyped an interactive projection mapping that changes according to user movement. This time, we focused on sports and projected the ball to the user to experience baseball pitching and soccer lifting. Furthermore, we conducted a questionnaire survey to evaluate the sense of use of this system, and the results showed that many people can enjoy by this projection mapping.
PDF File:	https://alife-robotics.co.jp/members2020/icarob/data/html/data/OS/OS21/OS21-2.pdf
Copyright:	© The authors. This article is distributed under the terms of the Creative Commons Attribution License 4.0, which permits non-commercial use, distribution and reproduction in any medium, provided the original work is properly cited. See for details: https://creativecommons.org/licenses/by-nc/4.0/

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