College of Physical Education, Hunan University of Science and Technology, Xiangtan 411201, China.
Comput Intell Neurosci. 2022 Aug 24;2022:5611829. doi: 10.1155/2022/5611829. eCollection 2022.
Sports dance is a competition project and a kind of sports, with the characteristics of being smooth, generous, leisurely, and comfortable, dance steps, smooth movements, and flowing clouds, and it can give full play to the indoor space. In the light of the new era, sports dance is also playing an increasingly important role. Through the time series data and feature analysis of dance sports movements through machine learning, the internal information is mined to find the trends and laws. Machine learning in the era of big data is widely used in research as the main tool for data analysis and mining. The key difficulty of data mining has always been time series data. Machine learning refers to a method of using the resulting data in a computer to derive a certain model and then using this model to make predictions. The core is "using algorithms to parse data, learn from it, and then make decisions or predictions about new data."
体育舞蹈是一项竞赛项目，也是一种运动，具有流畅、大方、悠闲、舒适的特点，舞步、动作流畅、行云流水，可以充分发挥室内空间。在新时代，体育舞蹈也在发挥着越来越重要的作用。通过机器学习对舞蹈运动动作的时间序列数据和特征分析，可以挖掘内部信息，发现趋势和规律。在大数据时代，机器学习被广泛应用于研究中，作为数据分析和挖掘的主要工具。数据挖掘的关键难点一直是时间序列数据。机器学习是指使用计算机中生成的数据来推导出某种模型，然后使用该模型对新数据进行预测的方法。其核心是“使用算法解析数据，从中学习，然后对新数据做出决策或预测。”
