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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Détails bibliographiques

Publié dans:	IEEE transactions on pattern analysis and machine intelligence. - 1979. - 33(2011), 12 vom: 22. Dez., Seite 2521-37
Auteur principal:	Stikic, Maja (Auteur)
Autres auteurs:	Larlus, Diane, Ebert, Sandra, Schiele, Bernt
Format:	Article en ligne
Langue:	English
Publié:	2011
Accès à la collection:	IEEE transactions on pattern analysis and machine intelligence
Sujets:	Evaluation Study Journal Article