| With the development of human-computer interaction technology,people begin to study the natural interaction between human and computer.From the development history of human-computer interaction,the most primitive mouse and keyboard input,to the later wired interactive equipment such as dancing machine,to the now popular human-computer interactive entertainment mode through camera and optical.These are all new human-computer interaction technologies.Although the optical capture technology is relatively mature and popular now,it will also be subject to various restrictions like light and angle,which can not make people devote themselves to the entertainment mode of human-computer interaction.Therefore,the non optical motion capture technology is born with the trend,which is responsible for the study of the computer's ability to capture human behavior.Motion capture technology can help the computer to understand human actions accurately,and realize realistic and real-time human-computer interaction.At present,with the development of computer hardware technology,the data acquisition devices that used to implement hardware action capture,that is,all kinds of sensors have become more and more high-quality.It is very convenient to carry without volume reduction,and the quality of data acquisition is getting higher and higher.At present,motion capture technology is in the peak of the last generation.At present,many motion capture technologies are supported by MEMS inertial sensors,which are mainly used for animation and movie production with high price.With the increasing integration of sensors,the sensors are also designed on the basis of new technology,which is more in line with human operation law.Based on the traditional MEMS motion capture technology,this paper designs and implements a prototype of human motion capture system,which is more universal,cheaper,high-precision and real-time.The prototype system realizes the data acquisition and fusion of human motion information based on inertial sensor nodes,the data transmission of data points and convergence nodes,and the real-time action presentation program of game model in virtual screen It realizes the whole process from data measurement to collection,and then to the interesting simulation of the original game of unity3 d.However,most of the sensor data acquisition and fusion methods that can be used in the world are linear Kalman filtering algorithms,which have the disadvantages of large error and inaccurate data after fusion.In this paper,the least square estimation and Kalman filtering are used to improve the data9 processing and fusion. |