Application Development of Dance Pose Recognition Based on Embedded Artificial Intelligence Equipment

9Citations
Citations of this article
17Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

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.

Cite

CITATION STYLE

APA

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

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free