With the development and popularization of artificial intelligence and machine vision, human posture recognition has become one of the most important research directions in the field of machine vision, but its application research in dance movement recognition is in its infancy, especially in the field of Chinese classical dance. In view of this situation, the application of artificial intelligence in basic hand position recognition of Chinese classical dance. Including analysis of basic hand position of Chinese classical dance, comparison of human posture recognition models, recognition and comparison of basic hand position of Chinese classical dance on NVIDIA embedded devices using TensorFlow deep learning framework, and combination of traditional culture and artificial intelligence technology.
CITATION STYLE
Zhou, Q., Wang, J., Wu, P., & Qi, Y. (2021). Application Development of Dance Pose Recognition Based on Embedded Artificial Intelligence Equipment. In Journal of Physics: Conference Series (Vol. 1757). IOP Publishing Ltd. https://doi.org/10.1088/1742-6596/1757/1/012011
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