Implementation of movement monitoring in body sensor network and assisted virtual reality.

摘要

Significant progress has been made in the past decade in the field of electronics and computers which has resulted in the advancements of areas such as Body Sensor Networks and inertial sensing. The key applications for BSNs have been in the field of medicine, entertainment, and training. The current research in this field focuses on optimizing the performance of the BSN there by increasing its lifetime. One of the approaches to achieve that is by using efficient middleware. The first part of this thesis covers the implementation of an improvement of such a middleware called SPINE. In the second part, the application of BSN in the field of training based on Virtual Reality is examined. Virtual Reality and haptics have provided for a technology behind training systems in medicine and rehabilitation which offers considerable advantages like faster deployment and lesser cost. However, applications especially in the medical domain demands a higher temporal resolution which in turn increases the cost of such systems. The second part of this thesis addresses this issue with a system based on inertial sensors to complement the haptics system in order to increase the temporal resolution.