Publication details

Enhancing the Learning Process of Folk Dances using Augmented Reality and Non-Invasive Brain Stimulation

Authors

KICO Iris LIAROKAPIS Fotis

Year of publication 2021
Type Article in Periodical
Magazine / Source Entertainment Computing
MU Faculty or unit

Faculty of Informatics

Citation
Web https://www.sciencedirect.com/science/article/pii/S1875952121000525
Doi http://dx.doi.org/10.1016/j.entcom.2021.100455
Keywords folk dance; motion capture; brain stimulation; tDCS; augmented reality
Description 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.
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