Recognizing human motions through mixture modeling of inertial data

Title
Recognizing human motions through mixture modeling of inertial data
Authors
Keywords
Human motion, Classification, Recognition, Segmentation, Inertial sensors, Gaussian mixture model, Minimum message length, Dynamic time warping
Journal
PATTERN RECOGNITION
Volume 48, Issue 8, Pages 2394-2406
Publisher
Elsevier BV
Online
2015-03-13
DOI
10.1016/j.patcog.2015.03.004

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