Physical Activity Recognition From Smartphone Accelerometer Data for User Context Awareness Sensing

Physical activity recognition of everyday activities such as sitting, standing, laying, walking, and jogging was performed, through the use of smartphone accelerometer data. Activity classification was done on a remote server through the use of machine learning algorithms, data was received from the...

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Vydané v:	IEEE transactions on systems, man, and cybernetics. Systems Ročník 47; číslo 12; s. 3142 - 3149
Hlavní autori:	Wannenburg, Johan, Malekian, Reza
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.12.2017 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Accelerometer Accelerometers Activity recognition Algorithms Classifiers Exercise Feature extraction Hidden Markov models Machine learning Machine learning algorithms Sensors Smart phones smartphone Smartphones
ISSN:	2168-2216, 2168-2232
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