Towards an augmented reality system for violin learning support

Hiroyuki Shiino, François De Sorbier, Hideo Saito

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

The violin is one of the most beautiful but also one of the most difficult musical instruments for a beginner. This paper presents an on-going work about a new augmented reality system for training how to play violin. We propose to help the players by virtually guiding the movement of the bow and the correct position of their fingers for pressing the strings. Our system also recognizes the musical note played and the correctness of its pitch. The main benefit of our system is that it does not require any specific marker since our real-time solution is based on a depth camera.

Original languageEnglish
Title of host publicationAdvances in Depth Image Analysis and Applications - International Workshop, WDIA 2012, Selected and Invited Papers
Pages136-145
Number of pages10
DOIs
Publication statusPublished - 2013 Sep 5
EventInternational Workshop on Advances in Depth Image Analysis and Applications, WDIA 2012 - Tsukuba, Japan
Duration: 2012 Nov 112012 Nov 11

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7854 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

OtherInternational Workshop on Advances in Depth Image Analysis and Applications, WDIA 2012
CountryJapan
CityTsukuba
Period12/11/1112/11/11

Keywords

  • Augmented Reality
  • Depth Camera
  • Marker-Less
  • Violin Pedagogy

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Shiino, H., De Sorbier, F., & Saito, H. (2013). Towards an augmented reality system for violin learning support. In Advances in Depth Image Analysis and Applications - International Workshop, WDIA 2012, Selected and Invited Papers (pp. 136-145). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7854 LNCS). https://doi.org/10.1007/978-3-642-40303-3_15