生物医学工程研究2025，Vol.44Issue(4)：209-214,6.DOI:10.19529/j.cnki.1672-6278.2025.04.02
不良体态智能评估在线检测系统的开发与应用
Development and application of an online detection system for intelligent assessment poor posture
摘要
Abstract
To enhance the efficiency and accuracy of posture assessment and meet users'demands for early identification and cor-rection of poor posture,we developed an intelligent online detection system for poor posture assessment integrating WeChat mini-pro-grams with deep learning algorithms.Firstly,the front-end design was WeChat mini-program,which could provide functions such as image upload and display of posture detection results.Secondly,the back-end processing used the OpenPose algorithm to identify hu-man key points,and the X-Cobb model assessed the degree of scoliosis to achieve posture and spine detection.Finally,integrating the front-end and back-end parts,an intelligent online detection system for poor posture assessment was built.The results showed that the system successfully identified 11 common poor postures.Moreover,it achieved the upload of images and the return of assessment results within 20 s,significantly enhancing user convenience.This research can achieve effective detection and early intervention of poor pos-ture,and provide an innovative technical means for solving problems related to poor posture.关键词
在线监测/不良体态/姿态识别/脊柱侧弯/Cobb角测量Key words
Online monitoring/Poor posture/Posture recognition/Scoliosis/Cobb angle measurement分类
医药卫生引用本文复制引用
于素丽,李卓然,苟建峰,林昭彤,丁思淇,陶春静,樊瑜波..不良体态智能评估在线检测系统的开发与应用[J].生物医学工程研究,2025,44(4):209-214,6.基金项目
北京市自然科学基金-海淀原始创新联合基金. （）
