Improvements to a pen-based musical input system

Ng, Elizabeth P Y; Bell, Tim; Cockburn, Andy

doi:10.1109/ozchi.1998.732212

Cited by 9 publications

(6 citation statements)

References 14 publications

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“…Forsberg, Dieterich, and Zeleznik presented in 1998 a pen-based musical score editor, called the "Music Notepad"; a more recent version of this composition system is available on the internet (Forsberg, Holden, Miller, & Zeleznik, 2005); the gestures we explicit in this paragraph and in the third column of Table 1 corresponds to this last version. Once again, the authors exploit a new alphabet to write classical musical notations, which is in fact quite close to the one proposed by Anstice et al (1996) and Ng et al (1998). For instance, quarter-notes can be drawn almost the same way as on paper, but accidentals can not: a gesture starting on a note head and uprising on the right is interpreted as a sharp, descending on the right as a flat.…”

Section: Existing Pen-based Musical Score Editorsmentioning

confidence: 81%

Pen-Based Interaction for Intuitive Music Composition and Editing

Macé¹,

Anquetil²,

Bossis³

2008

Intelligent Music Information Systems

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This chapter deals with pen interaction and its use for musical notation composition and editing. The authors first present existing pen-based musical notation editors and argue that they are dedicated to classical musical notations and are often constraining for the user. They then focus on their generic method that is in particular based on a formalism that models how to interpret the strokes drawn in online structured documents. To analyze an element, it models a coupling of a global vision (its position relatively to the other elements of the document) with a local vision (its shape and that of its components). The authors also present the hand-drawn stroke analyzer associated to this formalism. Finally, they demonstrate how the presented method can be used to design pen-based systems not only for classical musical score notations, but also for plainchant scores, drum tablatures and stringed-instrument tablatures.

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Section: Existing Pen-based Musical Score Editorsmentioning

confidence: 81%

Pen-Based Interaction for Intuitive Music Composition and Editing

Macé¹,

Anquetil²,

Bossis³

2008

Intelligent Music Information Systems

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“…Presto [1,9] combined gestures of 13 commands for the most frequent music objects and menus for less common ones. Another gesture-based application Music Notepad [4] came with complete set of gestures, avoiding the use of the pull-down menus.…”

Section: Figure 2 Example Of Presto Gestures Dot Represents Beginnimentioning

confidence: 99%

Music alphabet for low-resolution touch displays

Poláček

Sporka

Slavik

2009

Proceedings of the International Conference on Advances in Computer Entertainment Technology

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In this paper we present a novel approach to writing music on handheld pen-based devices which has been developed during the implementation of MusicMan, our pen-based music score editor. A new alphabet of music symbols has been designed especially for use on devices with small screens by musicians skilled in writing the music by hand. Our alphabet is based on simplification of the common Western music notation symbols, making them easier to write on PDA while retaining their overall feel. A user study described in this paper revealed that the alphabet is significantly faster, easier-to-use and more accepted by the firsttime users of PDA than the state-of-art method for pen-based writing of music.

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“…Pen-based music editing systems have been proposed because they are more user-friendly and require less time [5,6,7,8,9]. In such systems, Anstice [7] and Ng [8] defined shapes for symbols that are used frequently. These symbols are easily recognized by a computer.…”

Section: Introductionmentioning

confidence: 99%

An online handwritten music symbol recognition system

Miyao

Maruyama

2006

IJDAR

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The objective of this study is to produce a system that would allow music symbols to be written by hand using a pen-based computer that would simulate the feeling of writing on sheets of paper and that would also accurately recognize the music symbols. To accomplish these objectives, the following methods are proposed: (1) Two features, time-series data and an image of a handwritten stroke, are used to recognize strokes; and (2) The strokes are combined, as efficiently as possible, and outputted automatically as a music symbol. As a result, recognition rates of 97.60% and 98.80% were obtained in tests with strokes and music symbols, respectively.

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Improvements to a pen-based musical input system

Cited by 9 publications

References 14 publications

Pen-Based Interaction for Intuitive Music Composition and Editing

Pen-Based Interaction for Intuitive Music Composition and Editing

Music alphabet for low-resolution touch displays

An online handwritten music symbol recognition system

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