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

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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.

Source

ACHI 2012 : The Fifth International Conference on Advances in Computer-Human Interactions

Comments

ダンストレーニングシステム

参考にするダンサーのダンスをkinectで取得

フレームごとに骨格を表示

練習者はその骨格に合うように体を動かす

骨格とマッチングしたら画像保存　次のフレームへ

全てのマッチングが終了したら、動画として吐き出す

自身のダンス動画を見ながら練習できる

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