Research On The Accurate Attitude Capture System For Skiers Research And Design

Skiing is a good winter sport.With the rapid development of China’s national economy,especially the successful bidding of the 2022 Winter Olympic Games,the state attaches great importance to the sport,and more and more people are involved in the ice and snow sports.It is of great significance to capture the attitude information of the joint points of ski athletes accurately,and provide digital support for the correct guidance of the students’ learning.With the progress of science and technology,the human posture capture technology is more and more applied in sports,such as basketball,swimming,gymnastics and other sports.At present,optical camera and inertial sensor have become two main ways to collect human posture.However,there are still many problems in these two ways.In terms of sensors,because of the fast and complex movement of ski athletes,it is easy to cause the inaccurate attitude capture of human body;optical aspect mainly requires high requirements for the collection environment,which is easy to occur in the process of skiing Occlusion will cause inaccurate posture of the collected human body.Based on the 13th five year scientific and technological research planning project of Jilin Provincial Department of education,this paper carries out the research and design of information technology in skiing.In order to improve the accuracy of skiers’ attitude capture,this paper designs an attitude recognition system which combines inertial sensor and optical camera data.The system is divided into two parts: lower computer hardware and upper computer software.Firstly,in the inertial acquisition part,11 acquisition nodes are worn near the main joint points of skiers.The module uses ZigBee protocol to collect and send data wirelessly,which is more convenient and economical,and reduces the impact on skiers when they do actions.Secondly,this paper uses multithreading method to transform and calculate in time and space respectively,and fuse the data of inertial sensor and optical camera to improve the accuracy of skiers’ attitude capture.Finally,the human body model is established on the upper computer,and the real-time display of skiing is carried out through unity3 d.The posture of the students is compared with that of the coaches,and the existing problems are found out intuitively.A visual teaching method is provided,which greatly improves the teaching efficiency.Through the design of hardware circuit and the development of software function,a human posture recognition system with wireless transmission function and the effective combination of sensor and camera is realized.After the test,the system has the advantages of simple operation,stable structure and comprehensive functions,and can achieve the expected effect of human posture collection.It provides a new digital and visual teaching tool for skiing,and can also be applied to many other aspects,so it has a good application prospect.