abstract

guitAR: supporting guitar learning through mobile projection

Authors:

Markus Löchtefeld,

Sven Gehring,

Ralf Jung,

Antonio KrügerAuthors Info & Claims

CHI EA '11: CHI '11 Extended Abstracts on Human Factors in Computing Systems

Pages 1447 - 1452

https://doi.org/10.1145/1979742.1979789

Published: 07 May 2011 Publication History

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Abstract

The guitar is one of the most widespread instruments amongst autodidacts, but even though a huge amount of learning material exists, it is still hard to learn especially without a guitar teacher. In this paper we propose an Augmented Reality application called guitAR that assists guitar students mastering their instrument using a projector phone. With the projector phone mounted at the headstock of the guitar, the fret board and the strings of the guitar are in the field of projection of the phone. By projecting instructions directly onto the strings of the guitar the user is easily able to realize where the fingers have to be placed on the fretboard (fingering) to play a certain chord or a tone sequence correctly.

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Index Terms

guitAR: supporting guitar learning through mobile projection
1. Human-centered computing

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Information

Published In

CHI EA '11: CHI '11 Extended Abstracts on Human Factors in Computing Systems

May 2011

2554 pages

ISBN:9781450302685

DOI:10.1145/1979742

General Chair:
Desney Tan
Microsoft Research
,
Program Chairs:
Bo Begole
PARC
,
Wendy A. Kellogg
IBM Research

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 07 May 2011

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CHI '11

Sponsor:

SIGCHI

CHI '11: CHI Conference on Human Factors in Computing Systems

May 7 - 12, 2011

BC, Vancouver, Canada

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Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

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April 26 - May 1, 2025

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Kosch TWeiß ADeja JShrestha SHoppe MMatviienko AMarky K(2024)Intelligent Music Interfaces: When Interactive Assistance and Adaptive Augmentation Meet Musical InstrumentsProceedings of the Augmented Humans International Conference 202410.1145/3652920.3653039(327-330)Online publication date: 4-Apr-2024
https://dl.acm.org/doi/10.1145/3652920.3653039
Zhao WWang SZhao YWei JLiang YLin JTang Y(2024)A study on attention-based fine-grained image recognition: Towards musical instrument performing hand shape assessmentEngineering Applications of Artificial Intelligence10.1016/j.engappai.2023.107512129(107512)Online publication date: Mar-2024
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Peretti SCaruso FPino MGiancola MD’Amico SDi Mascio T(2024)The CrazySquare project for music learning in Italian school-age pre-adolescents: integrating technology into educational practiceJournal of Computers in Education10.1007/s40692-024-00320-3Online publication date: 30-Apr-2024
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Deja JEska BShrestha SHoppe MKarolus JKosch TMatviienko AWeiß AMarky KWard JMcGill MMarky K(2023)Intelligent Music Interfaces: When Interactive Assistance and Augmentation Meet Musical InstrumentsProceedings of the Augmented Humans International Conference 202310.1145/3582700.3582731(379-383)Online publication date: 12-Mar-2023
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