| Information captured and processd system based on wearable computer aims at transplanting activities of the people in the physical space into computing space by the wearable sensors, from which a mapping relationship is established between the physical and computing space. Then the wearable computing system is able to perceive, understand and predict users'activities, and give them instant assistance.Firstly, we analyzed the characteristics of the wearer and the system in the wearable computing environment and the requirement of using wearable computer to implement information capture and process. We put forward as a whole a three-tier structure model of information captured and processed system based on that, respectively speaking, user layer, middle layer and data layer.Secondly, we discussed about how to realize the three-tier structure model of the system. As to the user layer, we analyze the Human-Computer Interaction methods, the system use cases and mode realization of the user laye in wearable computing environment. As to the middle layer, the core of the system, we talk over how to build up its mode and what's the realization process, associated with the constraints and requirements of the hardware platform. In order to realize the system data layer, we put forth the system database and knowledge depository design, according to the system data types and follow-up support.Finally, In order to evaluate the system performance, two experiments are designed for field information captured and processed. Experiments shows that the system meets the demands in capturing field information, user route tracing, data query, system assistant. At the end of thesis, we did pressure and memory leak test on the system, It can run long-time and has a good performance on the wearable computer hardware platform.We made contributions in these three areas:1. Put forward the three-layer structure model of information captured and processed system about wearable computing application system. The mode can be applied to the flexible and expandable wearable computer information captured and processed system..2. Using dynamic clustering of the K-Means methods to analyze the log records about user's actions and places to build up the user knowledge base , By comparing the user's posture and location of the new input of system and the content of knowledge base to achieve the primary function of context awareness for system.3. Designed and achieved a information captured and processed system with much practical value and based on wearable computer. |
