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A Dance Training System that Maps Self-Images onto an Instruction Video

Authors:
Minoru Fujimoto
Tsutomu Terada
Masahiko Tsukamoto

Keywords: motion capture; motion training

Abstract:
Owing to recent advancements in motion capture technologies, physical exercise systems that use human interaction technologies have been attracting a great deal of attention. There are already various approaches in place that support motion training methods by using motion capture technology and wearable sensors to analyze body motion. In this study, our basic idea was to change the appearance of a dancer in an instruction video to that of the user, who we assume would be interested in seeing what they would look like if they could perform so well. We developed a motion training system that maps the user's image onto an instruction video. Evaluation results demonstrated that our proposed method is effective for motion training in specific situations.

Pages: 309 to 314

Copyright: Copyright (c) IARIA, 2012

Publication date: January 30, 2012

Published in: conference

ISSN: 2308-4138

ISBN: 978-1-61208-177-9

Location: Valencia, Spain

Dates: from January 30, 2012 to February 4, 2012