Abstract
With the progress of science and a variety of ever-changing technology, people's life develop dramatically. However, people need more and more expertise in various fields because of the expansion of knowledge. When using powerful but complex tools, people often can not quite intuitive to use these tools, and even takes on quite a long time to learn. It is probably because people require more expertise to use it. Thus, human-computer interaction and the concept of the Cyber-Physical System will be quite important. How to extend people’s feeling and control ability and how to develop technologies to identify people’s motion become more and more important in recent years. In order to answer these questions, sensing people’s postures will play an important role. How to make the interaction between people and machine more simple and intuitive is the motivation of this research. This research uses MEMS type inertial measurement units and comes up the algorithm to estimate the orientation multi-rigid-body. The performance shows that the root-mean-square error is 1 degree and the standard deviation is 0.75 degrees compared with the optical encoder. This data shows that this research is enough to be applied to various applications.