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Appl. Sci. 2017, 7(3), 258; doi:10.3390/app7030258

Interactive Rhythm Learning System by Combining Tablet Computers and Robots

Department of Electrical Engineering, Tamkang University, New Taipei City 25137, Taiwan
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Academic Editor: Hung Nguyen
Received: 30 December 2016 / Accepted: 4 March 2017 / Published: 7 March 2017
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Abstract

This study proposes a percussion learning device that combines tablet computers and robots. This device comprises two systems: a rhythm teaching system, in which users can compose and practice rhythms by using a tablet computer, and a robot performance system. First, teachers compose the rhythm training contents on the tablet computer. Then, the learners practice these percussion exercises by using the tablet computer and a small drum set. The teaching system provides a new and user-friendly score editing interface for composing a rhythm exercise. It also provides a rhythm rating function to facilitate percussion training for children and improve the stability of rhythmic beating. To encourage children to practice percussion exercises, a robotic performance system is used to interact with the children; this system can perform percussion exercises for students to listen to and then help them practice the exercise. This interaction enhances children’s interest and motivation to learn and practice rhythm exercises. The results of experimental course and field trials reveal that the proposed system not only increases students’ interest and efficiency in learning but also helps them in understanding musical rhythms through interaction and composing simple rhythms. View Full-Text
Keywords: percussion learning; interactive learning; robot; jazz drum percussion learning; interactive learning; robot; jazz drum
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Chou, C.-H.; Chu, Y.-L. Interactive Rhythm Learning System by Combining Tablet Computers and Robots. Appl. Sci. 2017, 7, 258.

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