Digital 3D Human Body Model For WBAN And Its Simplification

In recent years, with the development of sensor technology and wireless communication technology, wireless body area network(WBAN), composed by a variety of sensor nodes which are used to monitor human physiological indicators signal, has become the focus of attention. As a new wireless communication network, WBAN demonstrates different characteristics and requirements compared with other wireless communication. Its miniature and practicality provide it with broad application prospects in the medical diagnosis, healthcare and consumer electronics and other fields. Current research on WBAN is still in its infancy, and there is a great distance to come to mature technology and widely using. However, there are many challenges ahead, and a lot of key technical issues need to be further studied and resolved.As we know, WBAN is set up in the human body. As the main carrier of sensor nodes that are used to set up network, human body is an essential part for us to study the work of WBAN. Due to the lack of security, the high cost and low efficiency of using real physical human body for corresponding research experiments, a way to replace the role of the real physical human body in WNAN is required and that is digital 3D human body model. Digital 3D human body model, also called computer people, is a virtual 3D model out of computer technology and image processing technology which was used to reflect the three-dimensional morphology of the human body. This 3D human body model is storable and visible in a computer, and it can also be adjusted and controlled. Compared to real physical human body, it is more safe, convenient and flexible. So it can be used for a variety of experimental simulation of WBAN, which greatly facilitates the study of WBAN and makes contribution to the development of WBAN to some extent.In this article, a 3D laser scanner is used to scan and measure a human body to obtain a three-dimensional point cloud data of the human body, and then some simple preprocessing is performed including kicking isolated points, denoising and other operations. Then, these processed 3D point cloud data are used to reconstruct a triangular mesh of digital 3D human body model with delaunay triangulation method.However, due to the high precision of 3D laser scanner, the obtained human body three-dimensional point cloud data is very large and it is difficult to process and reconstruct directly, therefore, they need to be simplified. Consider that the acquisition of the body surface feature points are very dense when we use the 3D laser scanner to scan and measure the human body, which will lead to the human body 3D point cloud data we obtained contain some duplicate feature information, that means there will be some correlation between the point cloud data. However, the principal component analysis(PCA) is a statistical analysis method of handling such problems. PCA is able to identify the main direction of change from all changes of multiple feature variables, with less unrelated comprehensive feature indicator variables to replace the original feature variables for analysis and understanding, thus makes the problem become more simple and easy to handle. Therefore, the PCA algorithm is subsequently studied and used to simplify the 3D human body model data, which make a little contribution to the future study of WBAN.