| With the development of sports science and the gradual deepening of sports practice,the use of scientific training methods and monitoring methods in sports to enhance the effect of sports training has become an important development direction of auxiliary sports training.In traditional sports teaching and training,the teaching form is one-to-many,and the students’ understanding ability and learning progress are uneven,resulting in unsatisfactory teaching or training effects.Moreover,the traditional pose recognition method has low accuracy and high error rate due to the influence of environmental factors.Skeleton tracking technology is a real-time motion tracking technology,which is practiced in a somatosensory game mode in physical education,allowing practitioners to improve their motor skills in the process of training while increasing psychological and physiological pleasure.RGB-D camera is powerful and inexpensive,although its application of emerging technology with skeleton tracking technology as the core in the sports field is still in the preliminary stage,but its high experience is an important advantage in the field of sports,so it is imperative to fully explore and develop the application system of skeleton tracking technology.In this study,a 12-week yoga course intervention experiment was conducted using skeleton tracking technology on the teaching effect of yoga courses in 40 female college students majoring in non-sports majors in a university in Xi’an,and the correlation analysis of the difference between joint mobility and respiratory function of female college students before and after the experiment was observed.In this paper,OpenPose algorithm,weighted average method,Delphi method and comprehensive evaluation method were used to establish the evaluation indicators of 10 yoga asanas,and then the shooting data were analyzed by SPSS and Excel software to analyze the range of motion of the shoulder joint,elbow joint,hip joint and knee joint of the female college students.Non-contact respiratory monitoring was performed using the RGB-D depth camera,and short-term Fourier transform was used to extract the students’ pre-and post-experiment respiratory rates.Further explore the impact of skeleton tracking technology on the health of female college students in yoga classrooms.The results show that OpenPose and RGB-D depth cameras can better capture the movement changes of shoulder,elbow,hip and knee joints during yoga practice.However,there was no significant difference in the capture of respiratory rate before and after the experiment.(1)Before and after the experiment,shoulder flexion and shoulder extension range of motion were significantly improved(P<0.05),which not only showed that yoga could better improve the range of motion in these two directions of the shoulder joint,but also showed that the use of OpenPose and RGB-D depth cameras could better capture the range of motion of the shoulder joint in these two directions in yoga practice.(2)Before and after the experiment,yoga can improve the pronation and supination range of motion of the elbow joint(P<0.05),which also shows that the use of OpenPose and RGB-D depth cameras can better capture the range of motion of the elbow joint in yoga practice.(3)Before and after the experiment,yoga asanas had significant effects on improving the range of motion of external rotation of the hip,the range of retroextension of the hip joint and the range of motion of hip flexion in the female college students(P<0.05),which also showed that the use of OpenPose and RGB-D depth cameras could better capture the range of motion of external rotation,extension and flexion of the hip in yoga practice.(4)There was a significant difference in knee flexion range of motion before and after the experiment,which showed that yoga exercise could improve knee flexion range of motion(P<0.05),and also showed that the use of OpenPose and RGB-D depth cameras could better capture the knee flexion range of motion in yoga practice.(5)In this study,RGB-D depth camera was used to collect respiratory function information in human dynamics,and the experimental results showed no significant difference(P>0.05),It may be caused by low sampling rate and many holes.The findings of this study show that:(1)Based on the images captured by OpenPose and RGB-D depth camera and algorithms,the main joint parts of the human body were measured and recorded in real time,and the measured changes in the range of motion of human joints were obtained.When the information acquisition of respiratory function was performed,there was no significant difference in the experimental results due to the low sampling rate of the device and the high number of voids.(2)This study is an appropriate supplement to the traditional yoga teaching method,which can effectively solve the problems that cannot be avoided in the traditional yoga learning process,and provides a reliable basis for scientific yoga teaching and training,which not only improves the training efficiency,but also makes a significant improvement in the teaching effect of yoga courses for female college students.(3)A preliminary evaluation method of non-contact yoga practice based on OpenPose with RGB-D depth camera has been established in exploring the intersection of disciplines,and standardized and normative guidelines for scientific training and education have been developed.(4)Applying skeleton tracking technology in yoga classes has a positive impact on the health of female college students,and regular yoga exercises to improve joint mobility will have a better base in future health and quality of life. |
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