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An Advanced Computational Intelligence System for Training of Ballet Dance in a Cave Virtual Reality Environment
2014
2014 IEEE International Symposium on Multimedia
This paper presents a computer-based system for assessment and training of ballet dance in a CAVE virtual reality environment. The system utilizes Kinect sensor to capture student's dance and extracts features from skeleton joints. This system depends on a structured posture space, which comprises a set of dance elements that represent key moments-"postures", that typically will be so briefly held as to experience as a fleeting moment in a flux -in the dance movements whose performance we are
doi:10.1109/ism.2014.55
dblp:conf/ism/SunMKLZDEG14
fatcat:4lt4ndgapvb4rc36sffwqowdre