Research On Human Motion Capture Method Based On IMU

Motion capture technology is more and more widely applied in medical treatment,human-computer interaction,film and television and other fields.Human motion capture system based on inertial sensor has become a research hotspot.However,due to the non-standard geometry of human body,IMU cannot be truly worn along the direction of the body,so alignment technology has become one of the key technologies.In this paper,the research of human motion capture is carried out based on IMU,and a real-time visualization capturing system based on multi-node IMU is designed.Two initial alignment schemes are proposed to suit different populations.The main body of this paper is divided into three parts: node IMU data processing,human motion capture design based on multi-node IMU,and motion capture visualization system design based on Unity3 D.The specific contents are as follows:1.Single node IMU data processing and attitude calculation.Aiming at the different errors of three kinds of sensors,the alignment solutions are designed respectively.The kalman and Mahony algorithms are discussed experimentally,and the latter is determined to be the attitude solution of this system.2.Human motion capture design based on multi-node IMU.Establish a reasonable human node model to determine the sensor installation.For different people,the initial alignment method based on human motion capture is designed: "T-pose" alignment and non-alignment motion scheme.The professional motion capture system of Nuoiteng is used as the experimental reference to verify that the human motion capture system designed in this paper has good accuracy and stability.3.Realize human motion capture visualization based on Unity3 D.Set the Unity3 D human body model to complete the interaction between IMU and Unity3 D.Experimental results verify the real-time effectiveness of the human motion capture system in this paper.