Research on Action Recognition Method of Dance Video Image Based on Human-Computer Interaction

Human-computer interaction technology simplifies the complicated procedures, which aims at solving the problems of inadequate description and low recognition rate of dance action, studying the action recognition method of dance video image based on human-computer interaction. This method constructs...

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Autores principales: FenTian Peng, Hongkai Zhang
Formato: article
Lenguaje:EN
Publicado: Hindawi Limited 2021
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Acceso en línea:https://doaj.org/article/195f3726bc6d44d5988b2db4a3ed0de4
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spelling oai:doaj.org-article:195f3726bc6d44d5988b2db4a3ed0de42021-11-22T01:10:34ZResearch on Action Recognition Method of Dance Video Image Based on Human-Computer Interaction1875-919X10.1155/2021/8763133https://doaj.org/article/195f3726bc6d44d5988b2db4a3ed0de42021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/8763133https://doaj.org/toc/1875-919XHuman-computer interaction technology simplifies the complicated procedures, which aims at solving the problems of inadequate description and low recognition rate of dance action, studying the action recognition method of dance video image based on human-computer interaction. This method constructs the recognition process based on human-computer interaction technology, constructs the human skeleton model according to the spatial position of skeleton, motion characteristics of skeleton, and change angles of skeleton, describes the dance posture features by generating skeleton node graph, and extracts the key frames of dance video image by using the clustering algorithm to recognize the dance action. The experimental results show that the recognition rate of this method under different entropy values is not less than 88%. Under the test conditions of complex, dark, bright, and multiuser interference, this method can make the model to describe the dance posture accurately. Furthermore, the average recognition rates are 93.43%, 91.27%, 97.15%, and 89.99%, respectively. It is suitable for action recognition of most dance video images.FenTian PengHongkai ZhangHindawi LimitedarticleComputer softwareQA76.75-76.765ENScientific Programming, Vol 2021 (2021)
institution DOAJ
collection DOAJ
language EN
topic Computer software
QA76.75-76.765
spellingShingle Computer software
QA76.75-76.765
FenTian Peng
Hongkai Zhang
Research on Action Recognition Method of Dance Video Image Based on Human-Computer Interaction
description Human-computer interaction technology simplifies the complicated procedures, which aims at solving the problems of inadequate description and low recognition rate of dance action, studying the action recognition method of dance video image based on human-computer interaction. This method constructs the recognition process based on human-computer interaction technology, constructs the human skeleton model according to the spatial position of skeleton, motion characteristics of skeleton, and change angles of skeleton, describes the dance posture features by generating skeleton node graph, and extracts the key frames of dance video image by using the clustering algorithm to recognize the dance action. The experimental results show that the recognition rate of this method under different entropy values is not less than 88%. Under the test conditions of complex, dark, bright, and multiuser interference, this method can make the model to describe the dance posture accurately. Furthermore, the average recognition rates are 93.43%, 91.27%, 97.15%, and 89.99%, respectively. It is suitable for action recognition of most dance video images.
format article
author FenTian Peng
Hongkai Zhang
author_facet FenTian Peng
Hongkai Zhang
author_sort FenTian Peng
title Research on Action Recognition Method of Dance Video Image Based on Human-Computer Interaction
title_short Research on Action Recognition Method of Dance Video Image Based on Human-Computer Interaction
title_full Research on Action Recognition Method of Dance Video Image Based on Human-Computer Interaction
title_fullStr Research on Action Recognition Method of Dance Video Image Based on Human-Computer Interaction
title_full_unstemmed Research on Action Recognition Method of Dance Video Image Based on Human-Computer Interaction
title_sort research on action recognition method of dance video image based on human-computer interaction
publisher Hindawi Limited
publishDate 2021
url https://doaj.org/article/195f3726bc6d44d5988b2db4a3ed0de4
work_keys_str_mv AT fentianpeng researchonactionrecognitionmethodofdancevideoimagebasedonhumancomputerinteraction
AT hongkaizhang researchonactionrecognitionmethodofdancevideoimagebasedonhumancomputerinteraction
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