IEEE - Institute of Electrical and Electronics Engineers, Inc. - Improving classification of sit, stand, and lie in a smartphone human activity recognition system

2015 IEEE International Symposium on Medical Measurements and Applications (MeMeA)

Author(s): Nicole A. Capela ; Edward D. Lemaire ; Natalie Baddour
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Publication Date: 1 May 2015
Conference Location: Turin, Italy
Conference Date: 7 May 2015
Page(s): 473 - 478
ISBN (Electronic): 978-1-4799-6477-2
DOI: 10.1109/MeMeA.2015.7145250
Regular:

Human Activity Recognition (HAR) allows healthcare specialists to obtain clinically useful information about a person's mobility. When characterizing immobile states with a smartphone, HAR... View More

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