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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