Handwaving: Gesture Recognition for Participatory Mobile Music

Gerard Roma; Anna Xambó; Jason Freeman

doi:10.1145/3123514.3123538

Handwaving: Gesture Recognition for Participatory Mobile Music

Gerard Roma, Anna Xambó, Jason Freeman

Georgia Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Citations (Scopus)

Abstract

This paper describes handwaving, a system for participatory mobile music based on accelerometer gesture recognition. The core of the system is a library that can be used to recognize and map arbitrary gestures to sound synthesizers. Such gestures can be quickly learnt by mobile phone users in order to produce sounds in a musical context. The system is implemented using web standards, so it can be used with most current smartphones without the need of installing specific software.

Original language	English
Title of host publication	Proceedings of the 12th International Audio Mostly Conference
Subtitle of host publication	Augmented and Participatory Sound and Music Experiences
Publisher	Association for Computing Machinery (ACM)
Number of pages	7
ISBN (Print)	9781450353731
DOIs	https://doi.org/10.1145/3123514.3123538
Publication status	Published - 2017
Externally published	Yes
Event	12th International Audio Mostly Conference: Augmented and Participatory Sound and Music Experiences - Queen Mary, London, United Kingdom Duration: 23 Aug 2017 → 26 Aug 2017 Conference number: 12 http://2017.audiomostly.com/conference-program/ (Link to Conference Information)

Conference

Conference	12th International Audio Mostly Conference
Abbreviated title	AM '17
Country/Territory	United Kingdom
City	London
Period	23/08/17 → 26/08/17
Internet address	http://2017.audiomostly.com/conference-program/ (Link to Conference Information)

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10.1145/3123514.3123538Licence: Unspecified

Cite this

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title = "Handwaving: Gesture Recognition for Participatory Mobile Music",

abstract = "This paper describes handwaving, a system for participatory mobile music based on accelerometer gesture recognition. The core of the system is a library that can be used to recognize and map arbitrary gestures to sound synthesizers. Such gestures can be quickly learnt by mobile phone users in order to produce sounds in a musical context. The system is implemented using web standards, so it can be used with most current smartphones without the need of installing specific software.",

author = "Gerard Roma and Anna Xamb{\'o} and Jason Freeman",

year = "2017",

doi = "10.1145/3123514.3123538",

language = "English",

isbn = "9781450353731",

booktitle = "Proceedings of the 12th International Audio Mostly Conference",

publisher = "Association for Computing Machinery (ACM)",

address = "United States",

note = "12th International Audio Mostly Conference : Augmented and Participatory Sound and Music Experiences, AM '17 ; Conference date: 23-08-2017 Through 26-08-2017",

url = "http://2017.audiomostly.com/conference-program/",

}

Roma, G, Xambó, A & Freeman, J 2017, Handwaving: Gesture Recognition for Participatory Mobile Music. in Proceedings of the 12th International Audio Mostly Conference: Augmented and Participatory Sound and Music Experiences., 26, Association for Computing Machinery (ACM), 12th International Audio Mostly Conference, London, United Kingdom, 23/08/17. https://doi.org/10.1145/3123514.3123538

Handwaving: Gesture Recognition for Participatory Mobile Music. / Roma, Gerard; Xambó, Anna; Freeman, Jason.
Proceedings of the 12th International Audio Mostly Conference: Augmented and Participatory Sound and Music Experiences. Association for Computing Machinery (ACM), 2017. 26.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Handwaving

T2 - 12th International Audio Mostly Conference

AU - Roma, Gerard

AU - Xambó, Anna

AU - Freeman, Jason

N1 - Conference code: 12

PY - 2017

Y1 - 2017

N2 - This paper describes handwaving, a system for participatory mobile music based on accelerometer gesture recognition. The core of the system is a library that can be used to recognize and map arbitrary gestures to sound synthesizers. Such gestures can be quickly learnt by mobile phone users in order to produce sounds in a musical context. The system is implemented using web standards, so it can be used with most current smartphones without the need of installing specific software.

AB - This paper describes handwaving, a system for participatory mobile music based on accelerometer gesture recognition. The core of the system is a library that can be used to recognize and map arbitrary gestures to sound synthesizers. Such gestures can be quickly learnt by mobile phone users in order to produce sounds in a musical context. The system is implemented using web standards, so it can be used with most current smartphones without the need of installing specific software.

U2 - 10.1145/3123514.3123538

DO - 10.1145/3123514.3123538

M3 - Conference contribution

SN - 9781450353731

BT - Proceedings of the 12th International Audio Mostly Conference

PB - Association for Computing Machinery (ACM)

Y2 - 23 August 2017 through 26 August 2017

ER -

Handwaving: Gesture Recognition for Participatory Mobile Music

Abstract

Conference

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