A wireless human pose detection method based on digital twin and inertial sensor

This paper designs a real-time human pose detection device that can support cloud service. The corresponding digital twin software platform development is completed as well. This device uses nine-axis inertial sensors the local side to complete the acquisition of target’s pose information. The data acquisition system is used to collect and transfer the data wirelessly. On the cloud server side, this device uses digital twin technology to reproduce the human pose data in 3D model. The whole device is then experimentally tested in a laboratory environment. The results indicate that the system can successfully measure target’s pose.