Weakly Supervised Recognition of Daily Life Activities with Wearable Sensors

This paper considers scalable and unobtrusive activity recognition using on-body sensing for context awareness in wearable computing. Common methods for activity recognition rely on supervised learning requiring substantial amounts of labeled training data. Obtaining accurate and detailed annotation...

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Bibliographische Detailangaben

Veröffentlicht in:	IEEE transactions on pattern analysis and machine intelligence. - 1979. - 33(2011), 12 vom: 22. Dez., Seite 2521-37
1. Verfasser:	Stikic, Maja (VerfasserIn)
Weitere Verfasser:	Larlus, Diane, Ebert, Sandra, Schiele, Bernt
Format:	Online-Aufsatz
Sprache:	English
Veröffentlicht:	2011
Zugriff auf das übergeordnete Werk:	IEEE transactions on pattern analysis and machine intelligence
Schlagworte:	Evaluation Study Journal Article