Computer Vision-Based Human Body Posture Correction System  

作　　者：Yangsen QIU Yukun WANG Yuchen WU Xinyi QIANG Yunzuo ZHANG 

机构地区：[1]School of Information science and Technology,Shijiazhuang Tiedao University,Shijiazhuang,Hebei,050043,China

出　　处：《Mechanical Engineering Science》2024年第1期1-7,共7页机械工程（英文）

基　　金：funded by the Science and Technology Project of Hebei Education Department (No.ZD2022100).

摘　　要：With the development of technology and the progress of life,more and more people,regardless of entertainment,learning,or work,cannot do without computer desks and cannot put down their mobile phones.Due to prolonged sitting and often neglecting the importance of posture,incorrect posture can often lead to health problems such as hunchback,lumbar muscle strain,and shoulder and neck pain over time.To address this issue,we designed a computer vision-based human body posture detection system.The system utilizes YOLOv8 technology to accurately locate key points of the human body skeleton,and then analyzes the coordinate positions and depth information of these key points to establish a criterion for distinguishing different postures.With the assistance of an SVM classifier,the system achieves an average recognition rate of 95%.Finally,we successfully deployed the posture detection system on Raspberry Pi hardware and conducted extensive testing.The test results demonstrate that the system can effectively detect various postures and provide real-time reminders to users to correct poor posture,demonstrating good practicality and stability.

关 键 词：computer vision human posture deep learning image processing 

分 类 号：TP2[自动化与计算机技术—检测技术与自动化装置]