YNU-Dance: A Multimodal Ethnic Dance Action Dataset-Reference-Cited by-同舟云学术

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YNU-Dance: A Multimodal Ethnic Dance Action Dataset

Published:2024-05-24 Issue: Volume: Page:273-281
ISSN:
Container-title:Proceedings of the 2024 5th International Conference on Computing, Networks and Internet of Things
language:
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Author:

Sun Shouzheng¹^ORCID,Tang Qianhan¹^ORCID,Liu Yanan¹^ORCID,Zhang Hao¹^ORCID,Song Qianyun¹^ORCID,Xu Dan¹^ORCID

Affiliation:

1. Yunnan University, China

Funder

National Natural Science Foundation of China

Science Research Fund Project of Yunnan Provincial Department of Education

Yunnan Province Ten Thousand Talents Program and Yunling Scholars Special Project

Yunnan Provincial Science and Technology Department - Yunnan University Double First Class Construction Joint Fund

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3670105.3670151

Reference35 articles.

1. Omid Alemi Jules Françoise and Philippe Pasquier. [n. d.]. GrooveNet: Real-Time Music-Driven Dance Movement Generation using Artificial Neural Networks *. ([n. d.]).

2. UTD-MHAD: A multimodal dataset for human action recognition utilizing a depth camera and a wearable inertial sensor

3. Channel-wise Topology Refinement Graph Convolution for Skeleton-Based Action Recognition

4. P-CNN: Pose-Based CNN Features for Action Recognition

5. Hierarchical recurrent neural network for skeleton based action recognition

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