Smartphones as Drumsticks

dc.contributor.author	Barth, Peter	de_DE
dc.contributor.author	Groß, Henning	de_DE
dc.contributor.author	Petri, Richard	de_DE
dc.contributor.editor	Eibl, Maximilian	de_DE
dc.date.accessioned	2017-11-22T15:03:37Z
dc.date.available	2017-11-22T15:03:37Z
dc.date.issued	2011
dc.description.abstract	We present a mobile application using two smartphones as drumsticks. Based on accelerometer data the type of the beat (left, middle, or right) is derived. Because acceleration sensors are device specific, a device-specific support vector machine on each device is used to detect beats and type of beats. To attain good recognition on a variety of devices more quickly, the training process is simplified and backed by a server. For the sound generation the two devices are connected and a configurable drum sound for each beat on either device is played on one of the devices.	de_DE
dc.identifier.isbn	978-3-486-71235-3	en_US
dc.identifier.uri	https://dl.gi.de/handle/20.500.12116/7942
dc.language.iso	en	en_US
dc.publisher	Oldenbourg Verlag	de_DE
dc.relation.ispartof	Mensch & Computer 2011: überMEDIEN\|ÜBERmorgen	de_DE
dc.subject	Mobile	de_DE
dc.subject	Gestures	de_DE
dc.subject	Accelerometer	de_DE
dc.subject	Music	de_DE
dc.title	Smartphones as Drumsticks	de_DE
dc.type	Text/Workshop Paper	de_DE
gi.citation.endPage	486
gi.citation.publisherPlace	München	de_DE
gi.citation.startPage	479	de_DE
gi.conference.sessiontitle	Entertainment Interfaces Track	en_US
gi.document.quality	digidoc	en_US

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