Handwaving: Gesture Recognition for Participatory Mobile Music

Gerard Roma, Anna Xambó, Jason Freeman

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

1 Citation (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 languageEnglish
Title of host publicationProceedings of the 12th International Audio Mostly Conference
Subtitle of host publicationAugmented and Participatory Sound and Music Experiences
PublisherAssociation for Computing Machinery (ACM)
Number of pages7
ISBN (Print)9781450353731
DOIs
Publication statusPublished - 2017
Externally publishedYes
Event12th International Audio Mostly Conference: Augmented and Participatory Sound and Music Experiences - Queen Mary, London, United Kingdom
Duration: 23 Aug 201726 Aug 2017
Conference number: 12
http://2017.audiomostly.com/conference-program/ (Link to Conference Information)

Conference

Conference12th International Audio Mostly Conference
Abbreviated titleAM '17
CountryUnited Kingdom
CityLondon
Period23/08/1726/08/17
Internet address

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  • Cite this

    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). https://doi.org/10.1145/3123514.3123538