Dancing is a very popular entertainment activity which is, however, quite difficult to learn. Our objective is to facilitate the traditional dance-learning process – based on imitating teacher’s movements – by employing current technological advances. In particular, we record professional dancers’ performances using a motion capture system and display the recorded data as moving avatars within a developed mobile-phone application. This application in combination with the mobile phone used as a headset, allows students to observe professional dancing within an augmented-reality environment. To demonstrate the benefits of such environment, we show that students can learn dancing when using the developed application. We assess the dancing quality by determining a similarity with respect to professional performance, based on the Dynamic Time Warping applied to the recorded motion capture data. Also, we analyze the effect of transcranial direct current stimulation (tDCS) on motor learning. We experimentally demonstrate that students with received tDCS perform dancing significantly better. We evaluate all the experiments on a real-life dataset of folk dances.

跳舞是一项非常受欢迎的娱乐活动，但学习起来却相当困难。我们的目标是利用当前的技术进步促进传统的舞蹈学习过程——基于模仿教师的动作。特别是，我们使用动作捕捉系统记录专业舞者的表演，并在开发的手机应用程序中将记录的数据显示为移动的化身。该应用程序与用作耳机的手机相结合，使学生能够在增强现实环境中观察专业舞蹈。为了展示这种环境的好处，我们展示了学生在使用开发的应用程序时可以学习舞蹈。我们通过确定专业表演的相似性来评估舞蹈质量，基于应用于记录的运动捕捉数据的动态时间扭曲。此外，我们分析了经颅直流电刺激 (tDCS) 对运动学习的影响。我们通过实验证明，接受 tDCS 的学生的舞蹈表现明显更好。我们在真实的民间舞蹈数据集上评估所有实验。