Journal of Advances in Artificial Life Robotics
Online ISSN : 2435-8061
ISSN-L : 2435-8061
Interactive Projection Mapping using Human Detection by Machine Learning
Makoto Sakamoto Takahiro ShinodaKenji SakomaTakahiro IshizuAmane TakeiTakao Ito
著者情報
ジャーナル オープンアクセス

2020 年 1 巻 2 号 p. 86-90

詳細
抄録
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.
著者関連情報
© 2020 ALife Robotics Corporation Ltd.

この記事はクリエイティブ・コモンズ [表示 - 非営利 4.0 国際]ライセンスの下に提供されています。
https://creativecommons.org/licenses/by-nc/4.0/deed.ja
前の記事 次の記事
feedback
Top