An Analysis of the Application of Motion Capture Technology in the Creation of Contemporary Dance with the Integration of Fibonacci Sequences

Abstract

This paper combines the existing development of Fibonacci sequence aesthetics in art creation for the aesthetic planning of the Fibonacci sequence on music rhythm, proposes to design a new modern dance creation method by combining the diversified rotation methods of the Fibonacci sequence, and builds a process framework for generating Fibonacci sequence dance score based on motion capture. The wavelet transform is employed to determine the start of the dance movement, and the gradient descent algorithm is utilized to analyze the time coordinates and refine the dance movement. Recognize the segmented elemental action sequences using the DTW method, propose three basic actions from the dataset, and test the recognition rate of the DTW algorithm for each action. Generate a Fibonacci sequence dance score by combining human gestures. Combined with the research scoring, analyze the artistic talent of the Fibonacci sequence-generated dance. According to the data results, it can be seen that the action feature vector of the two-handed waving image is P=[0.8968, 0.9925, 0.9124, 1.0243, 1.0198, 1.2438, 1.4596, 1.3698, 1.5868, 1.6596, 1.5029] with 98.67% of the two-handed waving recognition rate (with a standard deviation of 0.25). The evaluation of Fibonacci sequence generation dance by research users tends to be moderate.

Keywords

• fibonacci sequence
• dtw algorithm
• wavelet transform
• human posture
• dance generation
• 97m50