Research on Sports Dance Movement Detection Based on Pose Recognition

In this paper, firstly, we propose to use time series analysis to observe the development and change process of social events, using the DF test and ADF test to eliminate the random autocorrelation in order to exclude the interference of white noise series. Secondly, the instantaneous frequency of non-smooth data is defined by analyzing the signal, and the constraints are modified from global constraints to local constraints. The Fourier-transformed eigenmode function is used to satisfy the four necessary conditions of completeness, orthogonality, localization, and adaptability. Finally, the development trend of ethnic folk dances and the change in communication dynamics are analyzed. The results show that the change of language on the spreading attitude of folk dance is 4.381, the change of custom on the spreading attitude is 5.943, the change of culture on the spreading attitude is 10.866, and the change of culture on the spreading attitude of folk dance is the largest, which shows that the development of folk dance away from the development of folk dance is not separated from the support of culture. The study will have a positive impact on passing on the distinctive art of ethnic folk dance and enriching Chinese traditional culture and art.

Section: Literature Reviewmentioning

confidence: 99%

Applying Time Series Analysis to Study the Development Trend and Influencing Factors of Ethnic Folk Dance

Ning

2023

“…When carrying out folk dance teaching in colleges and universities, it is necessary to cultivate students' ability in all aspects according to the actual social needs, not only to let students have high dance performance ability but also to improve students' professionalism so that students have rich theoretical knowledge to improve their competitiveness and be able to stand out in the fierce market competition [5]. Literature [6] proposes a posture recognition technique based on the detection of sports dance movement posture to overcome the current poor detection of sports dance. According to the principle of pose recognition to capture the action feature information in the process of sports dance, combined with the action feature evaluation system to realize the classification requirements of sports dance action.…”

Section: Introductionmentioning

confidence: 99%

An Exploration of Ethnic Dance Teaching Methods in Dance Performance Teaching in Colleges and Universities in the Context of Big Data

2024

In this paper, based on the practical framework of teaching folk dance in colleges and universities under the background of big data, the spatial and temporal characteristics of folk dance are sorted out, and the DTW algorithm is proposed to calculate the similarity of folk dance movements, and a model for estimating the gesture of normative movements of folk dance is constructed by combining multiscale feature fusion. Six kinds of folk dance movements were collected to establish the data samples of folk dance movements in order to verify the effectiveness of the calculation method of dance movement similarity and to obtain the results of the teaching of folk dance normative movements. Analyze the content of dance movements and the dance normative movement gesture estimation method to explore the expressiveness of folk dance movements. To research the effectiveness of emotional dance movement teaching in teaching folk dance in two dimensions, three segments of folk dance were chosen. The data show that the second segment of the dance, M=9.45, SD=2.15, was improved to M=11.55, SD=3.16. Affective dance movement teaching has a significant impact on the teaching of folk dance in colleges and universities, with improvements in both dance movement and dance expression.

“…For example, Ma, X et al used a recurrent neural network to obtain functional and non-functional demands, display the graphs generated by the application in the process of dance training and testing, visualize the loss function values in the process of dance movement training, and combined with the latest image generation technology and the most effective open-source gesture detection project, a video with the goal of enabling the trainer to complete the specified dance movement can be generated [8]. Tang, T. et al proposed a gesture recognition method for dance movement recognition, using the principle of gesture recognition to obtain the feature information of dance movements, constructing a movement feature evaluation system, optimizing the movement detection algorithm by combining with the gesture recognition technology to achieve the classification and detection of dance movements, which is practical in the process of actual dance teaching application [9].…”

Section: Introductionmentioning

confidence: 99%

Research on Intelligent and Innovative Teaching Mode of Dance Discipline in Colleges and Universities under the Background of Informatization

Liu

2023

In this paper, we first count the dance action motion information and compute different lengths of dance action videos through the threshold of segmentation as the input of a convolutional neural network. Combined with the two-layer level optimization function, the dance action trajectory values can be solved. The dance action trajectory values are compared with the standard action in terms of point distance, which suggests the location of the error for dance teaching assistance training. Finally, based on the three-dimensional data capture to establish a three-dimensional dance teaching model, the dance student’s various parts of the movement error results only between 0.25-2.21, the movement trajectory and the Kinect standard movement trajectory curve is highly fitted, and the dance amplitude, dance strength, dance consistency, dance standardization degree of performance is excellent.