Sports Teaching and Research Department, Jilin Business and Technology College, Changchun 130507, Jilin, China.
College of Physical, Zhoukou Normal University, Zhoukou, Henan, China.
Comput Intell Neurosci. 2022 Jun 21;2022:2995205. doi: 10.1155/2022/2995205. eCollection 2022.
Athletes have had to deal with significant shifts in the way they think about psychology and emotion before and after attending a match in their respective fields. It has become increasingly difficult for players of any sport to overcome these differences due to massive technological advancements that aid in analyzing the difficulties of an athlete. The trainer can use the results of the analysis to help motivate and prepare the athletes for the upcoming competitions. The analysis in this study is based on information about the athletes who competed in the Tokyo Olympics. Deep learning models were used to evaluate the study. Image feature detection can be accomplished through the application of a machine learning technique known as deep learning. It employs a neural network, a computer system that mimics the human brain's multiple layers. One or more unique features can be extracted from each layer. A deep learning model called the behavior recognition algorithm is used for the research. The questionnaire from the dataset was used to generate the results of the analysis.
运动员在参加各自领域的比赛前后，必须对心理学和情绪的看法进行重大调整。由于大量技术进步有助于分析运动员的困难，任何运动项目的运动员都越来越难以克服这些差异。教练可以利用分析结果来帮助激励和准备运动员参加即将到来的比赛。本研究中的分析基于参加东京奥运会的运动员的信息。深度学习模型用于评估该研究。通过应用一种称为深度学习的机器学习技术，可以实现图像特征检测。它使用神经网络，这是一种模拟人脑多层结构的计算机系统。可以从每个层中提取一个或多个独特的特征。用于研究的是一种称为行为识别算法的深度学习模型。数据集的问卷用于生成分析结果。
