The approach taken in the paper is to compare the features and limitations of motion trackers in common use. Results from the author’s experimentation with an inertial motion capture system are discussed. The system mainly involves inertia sensing technology, Bluetooth, sensor network and software development of human body motion capture model. The sensor network of the system is used to collect motion data of the body key joints, and the data are delivered to workstation through Bluetooth, then the software on workstation uses analytical inverse kinematics algorithm to analyze the motion data. The system has advantages of lower cost and high precision. The resulting model tends to handle uncertainty well and is suitable for incrementally updating models. There is value in regularly surveying the research areas considered in this paper due to the rapid progress in sensors and especially data modeling.