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Open AccessArticle

Dancing Salsa with Machines—Filling the Gap of Dancing Learning Solutions

Department of Computer Science and Mathematics, Goethe University Frankfurt, Theodor-W.-Adorno-Platz, 60323 Frankfurt am Main, Germany
DIPF Leibniz Institute for Research and Information in Education, Rostocker Straße 6, 60323 Frankfurt am Main, Germany
Author to whom correspondence should be addressed.
Sensors 2019, 19(17), 3661;
Received: 19 June 2019 / Revised: 6 August 2019 / Accepted: 21 August 2019 / Published: 23 August 2019
(This article belongs to the Special Issue Advanced Sensors Technology in Education)
Dancing is an activity that positively enhances the mood of people that consists of feeling the music and expressing it in rhythmic movements with the body. Learning how to dance can be challenging because it requires proper coordination and understanding of rhythm and beat. In this paper, we present the first implementation of the Dancing Coach (DC), a generic system designed to support the practice of dancing steps, which in its current state supports the practice of basic salsa dancing steps. However, the DC has been designed to allow the addition of more dance styles. We also present the first user evaluation of the DC, which consists of user tests with 25 participants. Results from the user test show that participants stated they had learned the basic salsa dancing steps, to move to the beat and body coordination in a fun way. Results also point out some direction on how to improve the future versions of the DC. View Full-Text
Keywords: Technology-Enhanced Learning; Multimodal Learning Analytics; Kinect; dancing; salsa Technology-Enhanced Learning; Multimodal Learning Analytics; Kinect; dancing; salsa
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Romano, G.; Schneider, J.; Drachsler, H. Dancing Salsa with Machines—Filling the Gap of Dancing Learning Solutions. Sensors 2019, 19, 3661.

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