AI智能泳姿分析APP在大众游泳教学中的应用与效果研究

摘要

为破解大众游泳教学专业指导资源不足、训练反馈滞后、个性化教学缺失等现实难题，依托计算机视觉、深度学习算法开发AI智能泳姿分析APP，本研究以AI智能泳姿分析APP为研究对象，结合普通游泳初学者与游泳培训机构教学场景，采用问卷调查、实验对照、数理统计等研究方法，探究AI智能泳姿分析APP在大众游泳教学中的应用路径与实践效果。研究表明：该APP可实时捕捉游泳人体关键点，量化识别泳姿动作偏差并输出语音、文字、示范视频多维度纠错方案；在为期12周的教学对照实验中，使用APP辅助训练的实验组学员泳姿规范度提升幅度、训练坚持度均显著高于传统教学对照组。研究证实，AI智能泳姿分析APP工具能够降低大众游泳学习门槛、提升教学效率、增强训练趣味性，为全民健身背景下游泳运动数字化普及、体教融合数字化教学提供新路径。

Abstract

To solve the practical problems in mass swimming teaching, such as insufficient professional guiding resources, delayed training feedback and the lack of personalized teaching, this study develops an AI‑intelligent swimming posture analysis Application based on computer vision and deep learning algorithms. Taking the AI‑intelligent swimming posture analysis Application as the research object, this paper combines the teaching scenarios of ordinary swimming beginners and swimming training institutions, and adopts research methods including questionnaire survey, controlled experiment and mathematical statistics to explore the application path and practical effect of the Application in mass swimming teaching. The research results show that the Application can capture swimmers’ key human‑body points in real time, quantitatively identify swimming posture deviations, and output multi‑dimensional error‑correction schemes including voice prompts, text instructions and demonstration videos. In the 12‑week teaching controlled experiment, the experimental group with Application‑assisted training achieved a significantly higher improvement in swimming posture standardization and training persistence than the control group receiving traditional teaching. The study verifies that the AI‑intelligent swimming posture analysis Application can lower the threshold of public swimming learning, improve teaching efficiency and enhance training fun. It provides a new approach for the digital popularization of swimming sports and the digital teaching integration of sports and education under the background of national fitness.

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