DANCE PHRASE MOTION RECOGNITION USING LAYERED HIDDEN MARKOV MODEL DESIGN: CASE OF SIGEH PENGUTEN DANCE

Dance is formed by sequences of phrases performed on a time span. Phrases is constituted from gestures which is a sequence of poses. The hidden Markov model (HMM) in designed to recognize dance phrases in a layered scheme started from pose recognition. Key poses are identified by using K-means clust...

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Bibliographic Details
Main Author: Alfathdyanto, Khairurizal
Format: Theses
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/36763
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Institution: Institut Teknologi Bandung
Language: Indonesia