Dissertation > Excellent graduate degree dissertation topics show

Multi-Sensor Information Fusion and Its Applications on Wearable Computer

Author: Wang
Tutor: YangXiaoZong
School: Harbin Institute of Technology
Course: Computer Science and Technology
Keywords: Fuzzy dynamic Bayesian network Fuzzy set Multi-sensor information fusion Human health monitoring
CLC: TP202
Type: Master's thesis
Year: 2008
Downloads: 104
Quote: 0
Read: Download Dissertation

Abstract


Wearable computer is a new type of mobile computer which is small and wearable. It can provide user with the services of information acquirement, exchange and process. It is not only the micro computer that be put on the body but also connected close to the user. Except its functions of calculation and display, using multi-channel sensors, the technology of information fusion based on wearable computer can improve user’s perception of the situation about themselves and the environment. Thus it can make quick and automatic response to the user and can be more intelligently communicate with user.This paper analyzes the features of wearable computer and human physiological index. Due to the factors includes demand of real-time information fusion, features of time sequence data and the fuzziness of physiological data, this paper presents a multi-sensor information fusion method based on fuzzy dynamic Bayesian network (FDBN). Dynamic Bayesian network(DBN) can estimate the states in some time slice or even every time slice given the observation sequence, while the FDBN imports fuzzy observation that could belongs to several states at the same time and can be used to solve the problem of qualitative inference with continual observation nodes. In this paper, a systemic study on the method of modeling and inference in FDBN is given. Besides, forwards-backwards algorithm and interface algorithm for FDBN is derived by combined basic inference formula of FDBN and inference algorithms in DBN. Based on FDBN, the multi-sensor information fusion architecture and operating steps is given.Using this method, this paper builds two real-time monitoring models for cardiogenic shock and human physiological state. By online inference, it is feasible to do real-time multi-sensor fusion and assessment of the state of fusion target. The result of simulation proves that this method is practical and effective. And it could effectively eliminate the noise caused by instantaneous failure of the sensors. Besides, by analysis of probability curve, trend of human physiological state change could be acquired at the first moment.Finaly,by adopting the monitoring model builded by FDBN and using some physiological fabric sensors to get physiological data, this paper designs and implements a wearable human health monitoring system on high performance embedded system and monitoring server. In the experiments, this prototype could achieve two basic functions that are physiological data display and automatic assessment of human physiological state, and then could monitor human health remotely based on wearable computer.

Related Dissertations

  1. Research on the Risk Evaluation and Classification Technology on the Dam Failing of Tailing Ponds,TV122.4
  2. Information Fusion Based on Multi- wheeled mobile robot navigation technology,TP242
  3. Based on a combination of multi-sensor automated guided vehicle systems research and application,TP242.2
  4. Research on Fuzzy Number Intuitionistic Fuzzy Set Method of Fuzzy Structured Element Analysis and Its Application,O159
  5. A Research on Variable Weight Synthesis Method for Fuzzy Reasoning,O159
  6. Research on Integrated Navigation Technology and Semi-Physical Simulation of Hypersonic Vehicle,V249.328
  7. Research of Intelligent Pressure Transmitter,TP212
  8. Network Intrusion Detection System Research Based on Intelligence Algorithm,TP393.08
  9. A Study on the System of Vehicle Collision Avoidance Based on Multi-sensor Information Fusion Algorithm,U463.6
  10. Research on Fault Diagnosis of Rolling Bearing Based on Multi-Sensor Information Fusion,TH165.3
  11. Research on Information Fusion Algorithm in Intelligent Control of Greenhouse,TP202
  12. Research on Question Classifying of Chinese Question Answering System Based on Bayesian Classification,TP391.1
  13. The Research on Risk Assessment Method of Inmorfation System Based on Fuzzy Analytic Hierarchy Process and Evidence Theory,TP309
  14. Research on Database Query Technology Based on Flexible-context Preference,TP311.13
  15. Study on Impact Post-evaluation Index System and Method of Water Conservancy Construction Project,F426.91;F224
  16. The Related Expansion on Soft Set in the Uncertain Theory,O159
  17. Research on Multi-sensor Fusion Technique Base on Wavelet Neural Network,TP202
  18. Anti-Noise Fuzzy SLIQ Decision Trees Based on Sensitivity,TP311.13
  19. A Sort of Cumulative Sum Control Charts for Multivariate Fuzzy Data,O213
  20. Theory and Application of Variable Precision Rough Sets Based on Fuzzy Logic,TP18

CLC: > Industrial Technology > Automation technology,computer technology > Automation technology and equipment > General issues > Design, performance analysis and synthesis
© 2012 www.DissertationTopic.Net  Mobile