Big Data in Preschool Dance Multimedia Teaching Dance Posture Correction

Abstract

With the explosive growth of data and the enhancement of data openness, big data is quietly changing our daily work and life. This article mainly studies the application of big data in preschool dance multimedia teaching dance posture correction. Using a small sample control method, the body characteristics of the research subject were measured before the experiment and used as the index before the measurement; after 8 weeks of learning, the measurement was performed again and used as the index after the measurement. Then, the principle of feature plane similarity matching is used to analyze the motion posture. The experiment found that after 8 weeks of multimedia correction training, mild pelvic backwards accounted for 75% and moderate 22.2%. The results show that big data plays a technical support role in the correction of dance posture in preschool dance multimedia teaching.