CS-TE Abstraction Framework: Ballet Teaching, Training, and Testing Station with Kinect Sensors and EEG Measurement

dc.contributor.authorApirath Limmanee
dc.contributor.authorSathit Pairoch
dc.contributor.authorMontri Phothisonothai
dc.date.accessioned2026-05-08T19:24:09Z
dc.date.issued2024-7-31
dc.description.abstractThis article advocates the use of abstraction in the design of a standardized ballet learning, training, and testing station. The framework could also be applied to other types of dancing as well. On the one hand, the state-of-the-art engineering research approach focuses on mathematical models, algorithm, complexity, and efficiency of gesture recognition processes. On the other hand, our approach is top-down, where lower-level abstraction inherits the concepts from the upper-level. And the very top-level concepts are in accordance with how dancing artists really think while they generate their work of arts.
dc.identifier.doi10.1109/icce62051.2024.10634700
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/19424
dc.subjectHuman Motion and Animation
dc.subjectHuman Pose and Action Recognition
dc.subjectVideo Analysis and Summarization
dc.titleCS-TE Abstraction Framework: Ballet Teaching, Training, and Testing Station with Kinect Sensors and EEG Measurement
dc.typeArticle

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