[Retracted] Dance Movement Recognition Based on Feature Expression and Attribute Mining

Zhai, Xianfeng

doi:10.1155/2021/9935900

Cited by 25 publications

(16 citation statements)

References 34 publications

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“…Dancers' postures can be mapped out using features that can be extracted from their images. The existing extraction techniques, which are based on this approach, focus more on the spatial domain of video, i.e., on extracting pixel information from video frames, while ignoring the changes in motion state of video motion in the time domain [ 1 ]. From one dance move to the next, there are unrelated movements.…”

Section: Introductionmentioning

confidence: 99%

[Retracted] Dance Action Recognition Model Using Deep Learning Network in Streaming Media Environment

2022

Journal of Environmental and Public Health

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Dance movement recognition is a video technology that has a significant impact on intelligent applications and is widely applied in many industries. In the training of intelligent dance assistants, this method can be used. Dancers’ postures can be reconstructed by taking the features out of their images. Examine and correct dancers’ postures in order to recognise their dance movements. The most crucial aspect of this technology is effectively extracting features, and deep learning is currently one of the best ways to do this for video features. In this paper, the dance movement recognition method is studied using a convolution neural network based on a deep learning network. The deep-learning-network-based convolution neural network is also used to conduct a simulation test, confirming the viability of this method for the recognition of dance movements. Due to the addition of manually extracted time-domain optical flow information, the convolution neural network’s accuracy in recognising dance movements has increased by 30.65% and 19.49% for InceptionV3 and 3D-CNN networks, respectively. It is evident from this that the convolution neural network suggested in this paper is more effective at identifying dance movements. Dance movements will continue to develop quickly thanks to the improvement of the in-depth recognition system for them. This technology has a wide range of applications in the instruction and practise of dance movements, and this research has promising application potential.

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Section: Introductionmentioning

confidence: 99%

[Retracted] Dance Action Recognition Model Using Deep Learning Network in Streaming Media Environment

2022

Journal of Environmental and Public Health

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“…Dance in ethnic areas is a treasure of traditional art in my country. In order to realize the inheritance of dance in ethnic areas, it is necessary to optimize and guide dance in ethnic areas [1]. With the rise of artificial intelligence, computer vision technology has developed rapidly in recent years.…”

Section: Introductionmentioning

confidence: 99%

Dancer Tracking Algorithm in Ethnic Areas Based on Multifeature Fusion Neural Network

Shi

2022

Wireless Communications and Mobile Computing

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Due to the complex posture changes in dance movements, accurate detection and tracking of human targets are carried out in order to improve the guidance ability of dancers in ethnic areas. A multifeature fusion-based tracking algorithm for dancers in ethnic areas is proposed. The edge contour model of video images of dancers in ethnic areas is detected, and the video tracking scanning imaging model of dancers in ethnic areas is constructed. The video images of dancers in ethnic areas are enhanced based on the initial contour distribution, and a visual perception model of dancers tracking images in ethnic areas is established. To improve the algorithm’s estimation of complex poses and finally complete the dance movement recognition, a feature pyramid network is used to extract the features of dance movements, and then, a multifeature fusion module is used to fuse multiple features. The tracking algorithm proposed in this paper has higher robustness than other algorithms and effectively reduces the error samples generated during the tracking process, thus improving the accuracy of long-term tracking.

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“…Even if we create dance, it preserves the most active part of human body movements and emotions. It is based on body expression; the fundamental purpose is emotional communication [ 10 ].…”

Section: Introductionmentioning

confidence: 99%

[Retracted] Analysis of the Relationship between Dance Action and Health Psychology in the Process of Dance Performance Teaching Environment

Huang

2022

Journal of Environmental and Public Health

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One of the public fundamental disciplines that is typically put up among the professional teaching units in universities is dance. In order for this sports project with fitness, mental health, and aesthetic functions to be widely developed in universities, the use of reasonable, scientific, and targeted teaching methods can effectively improve the instructional effect. At the same time, it has further promoted the quality of education in universities and implemented the guiding ideology of “health first.” In order to avoid the classifier’s performance-degrading effects brought on by the high dimension, this research suggests combining the classifier’s psychological stress identification algorithm with a particle swarm optimization (PSO) approach. The experimental findings reveal that the PSO-SVM algorithm, PSO-BP algorithm, improved PSO-SVM algorithm, and improved PSO-BP algorithm, respectively, have recognition rates for psychological stress of 82.50%, 84.50%, 90.17%, and 94.83%. Additionally, the recognition rates of the improved PSO classifier are significantly higher than those of the basic PSO algorithm, demonstrating the improved PSO algorithm’s strong generalization ability in optimization.

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[Retracted] Dance Movement Recognition Based on Feature Expression and Attribute Mining

Cited by 25 publications

References 34 publications

[Retracted] Dance Action Recognition Model Using Deep Learning Network in Streaming Media Environment

[Retracted] Dance Action Recognition Model Using Deep Learning Network in Streaming Media Environment

Dancer Tracking Algorithm in Ethnic Areas Based on Multifeature Fusion Neural Network

[Retracted] Analysis of the Relationship between Dance Action and Health Psychology in the Process of Dance Performance Teaching Environment

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