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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Format: | Theses |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/36763 |
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Institution: | Institut Teknologi Bandung |
Language: | Indonesia |