Abstract
Aiming at the problems of low error recognition accuracy and low correlation of data matching in the existing dance action and music beat matching error recognition methods, a dance action and music beat matching error recognition method based on data mining is designed. The quaternion array is used to represent the joint coordinate points of the dance movement, and the coordinates are rotated to obtain the curve change of the dance movement. The dance movement characteristics are regarded as a set of positive and negative sample data, the initial weights of different sample data are calculated, the absolute value is processed for the music beat signal, the interference factors are filtered with the help of Gauss filter, and according to the rhythm law of the music beat signal, the characteristics of music beat signal are extracted and the feature extraction of dance action matching is completed with music beat. The corresponding relationship between dance action and music beat is regarded as the corresponding model, the pairwise occurrence probability between music beat and action is determined, the matching model between dance action and music beat is discretized, and the peak point of correlation data is introduced to complete the matching between dance action and music beat. The features of matching data are extracted and segmented by short-time Fourier transform, the segmented matching data is transformed into matching data, the matching error identification model is established with the help of support vector mechanism, and the constraint conditions of error detection are set to complete the matching error identification. The experimental results show that the proposed method has high recognition accuracy and high data matching correlation.
Highlights
In dance training and performance, the accurate matching of music beat is the key factor affecting the success of dance performance. erefore, in dance training, the effective matching of music beat is very necessary [1]
Due to the diversity of music beat and the continuous change of signal, the effect of music beat matching is poor [4]. erefore, how to improve the effect of dance action and music beat matching and identify the error in its matching has become a hot issue in this field [5]. erefore, researchers in this field have designed a correct method for identifying the matching error between dance action and music beat and achieved some results
Aiming at the problems in the above methods, this paper designs a matching error recognition method between dance action and music beat based on data mining. e main technical route of this paper is as follows
Summary
In dance training and performance, the accurate matching of music beat is the key factor affecting the success of dance performance. erefore, in dance training, the effective matching of music beat is very necessary [1]. With the continuous development of modern electronic technology, many monitoring systems for matching dance movements with music beat have been studied [3] Such artificial intelligence systems are helpful to dance training. Use a quaternion array to represent the joint coordinate points of the dance movement, rotate the coordinates, obtain the curve change of the dance movement, regard the dance movement characteristics as a set of positive and negative sample data, calculate the initial weight of different sample data, process the music beat signal in absolute value, filter out the interference factors with the help of Gauss filter, and according to the rhythm law of the music beat signal, extract the characteristics of music beat signal and complete the feature extraction of dance action matching with music beat. Design of the Matching Error Identification Method between Dance Action and Music Beat
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