000021356 001__ 21356
000021356 005__ 20170522124350.0
000021356 04107 $$aeng
000021356 046__ $$k2017-05-15
000021356 100__ $$aKumpán, P.
000021356 24500 $$aSEGMENTATION OF HUMAN MOTION ACCELERATION WITH PROBABILISTIC CLASSIFIER

000021356 24630 $$n23.$$pEngineering Mechanics 2017
000021356 260__ $$bBrno University of Technology, Institute of Solid Mechanics, Mechatronics and Biomechanics, Brno
000021356 506__ $$arestricted
000021356 520__ $$2eng$$aThis paper describes a method for signal segmentation in human motion analysis. Proposed method uses a probabilistic change point estimator combined with a Trigg’s tracking signal for detection of changes in a signal variation and segmentation to the subsections by these change points. Main usage of this method is in fields of sport training or health condition monitoring but it can be also used in technical monitoring.

000021356 540__ $$aText je chráněný podle autorského zákona č. 121/2000 Sb.
000021356 653__ $$aSignal segmentation, Change point detection, Motion analysis, Trigg’s tracking signal.

000021356 7112_ $$aEngineering Mechanics 2017$$cSvratka, CZ$$d2017-05-15 / 2017-05-18$$gEM2017
000021356 720__ $$aKumpán, P.
000021356 8560_ $$ffischerc@itam.cas.cz
000021356 8564_ $$s1228943$$uhttps://invenio.itam.cas.cz/record/21356/files/0566.pdf$$yOriginal version of the author's contribution in proceedings, page 566, section MCT.
000021356 962__ $$r21225
000021356 980__ $$aPAPER