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About Gesture Following For Performing Art
This document describes a gesture follower for performing arts developed by Frédéric Bevilacqua and Remy Muller of Ircam. The gesture follower uses hidden Markov models to indicate in real-time the time correspondences between an observed gesture sequence and a fixed reference sequence. It was tested on dance sequences and violin playing, with promising results showing it could time warp a test sequence to match a learned sequence. The follower has applications for quantitative analysis and comparison of live and recorded performances as well as controlling digital media.
Detailed Information
Author: | ['姚熙'] |
---|---|
Publication Year: | 2017 |
Pages: | 2 |
Language: | English |
Format: | |
Price: | FREE |
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