Abstract
Abstract In order to verify the effectiveness and feasibility of the combination of motion capture technology and teaching, based on dance teaching, this paper proposes a dance posture analysis method based on feature vector matching and applies it to dance teaching.. The main research work includes the following: (1) according to the characteristics of human motion poses-free editing, extracting human skeleton models, establishing a human motion model database, analysing the application of motion capture systems in dance training, and proposing a method of feature plane similarity matching to calculate model components and motion parameters. After verification, the method has high accuracy and robustness for the analysis of human posture, so that dancers can accurately compare the differences with standard dance movements, and provide theoretical support for scientific dance training. (2) Aiming at the complexity of learning dance, a dance teaching method based on motion capture technology is proposed. Using motion capture technology, a whole complex dance movement is decomposed into many small segments to make a teaching animation, which guides students to learn based on small dance movement. Imitation makes the abstract theory vivid, intuitive and easy to understand, which is conducive for the innovation of education and teaching methods.
Highlights
In the field of computer research today, people are increasingly hoping to use computer recognition to determine the external environment, to provide people with more intelligent information and services
(2) Aiming at the complexity of learning dance, a dance teaching method based on motion capture technology is proposed
A whole complex dance movement is decomposed into many small segments to make a teaching animation, which guides students to learn based on small dance movement
Summary
In the field of computer research today, people are increasingly hoping to use computer recognition to determine the external environment, to provide people with more intelligent information and services. Computer vision can enhance the accuracy, effectiveness and robustness of information capture. It has universal application value and research significance in the following areas. Applying motion analysis to dance teaching analyses and discriminates the dance movements of trainees, which helps trainers to find out where the movements are irregular in time, using dance technology. The action parameters are converted into a threedimensional (3D) motion model, a teaching sample library is established and the analysis results are used as important indicators to measure the education level, which helps to improve the quality of education [3]. The intelligent method provides realistic and effective learning for dancing theoretical basis
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