Combining discriminative spatiotemporal features for daily life activity recognition using wearable motion sensing suit

Motion sensing plays an important role in the study of human movements, motivated by a wide range of applications in different fields, such as sports, health care, daily activity, action recognition for surveillance, assisted living and the entertainment industry. In this paper, we describe how to c...

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Veröffentlicht in:	Pattern analysis and applications : PAA 2017-11, Vol.20 (4), p.1179-1194
Hauptverfasser:	Vital, Jessica P. M., Faria, Diego R., Dias, Gonçalo, Couceiro, Micael S., Coutinho, Fernanda, Ferreira, Nuno M. F.
Format:	Artikel
Sprache:	eng
Schlagworte:	Activity recognition Artificial neural networks Bayesian analysis Classification Classifiers Computer Science Conditional probability Fast Fourier transformations Feature recognition Fourier transforms Human motion Motion capture Neural networks Pattern Recognition Statistical analysis Support vector machines Theoretical Advances Wearable technology
Online-Zugang:	Volltext
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