Multi-sensor Technology and Fuzzy Logic for Dancer’s Motion Analysis and Performance Evaluation within a 3D Virtual Environment
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- Kitsikidis A., Dimitropoulos K., Yilmaz E., Douka S., Grammalidis N. (2014) Multi-sensor Technology and Fuzzy Logic for Dancer’s Motion Analysis and Performance Evaluation within a 3D Virtual Environment. In: Stephanidis C., Antona M. (eds) Universal Access in Human-Computer Interaction. Design and Development Methods for Universal Access. UAHCI 2014. Lecture Notes in Computer Science, vol 8513. Springer, Cham
In this paper, we describe a novel methodology for dance learning and evaluation using multi-sensor and 3D gaming technology. The learners are captured during dancing, while an avatar visualizes their motion using fused input from multiple sensors. Motion analysis and fuzzy-logic are employed for the evaluation of the learners’ performance against the performance of an expert. Specifically, a two level Fuzzy Inference System is proposed which uses as input low level skeletal data and high level motion recognition probabilities for the evaluation of dancer’s performance. Tests with real dancers, both learners and experts, dancing Tsamiko, a very popular traditional Greek dance, are presented showing the potential of the proposed method.
KeywordsKinect fuzzy inference system dance performance evaluation Unity
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