Methods and techniques for decision support for monitoring of status of individuals

Authors:

  • Fredrik Lantz
  • Britta Levin
  • Dennis Granåsen

Publish date: 2010-12-27

Report number: FOI-R--3092--SE

Pages: 42

Written in: Swedish

Keywords:

  • Decision support
  • WBAN
  • status of individuals
  • AAR
  • physiological data
  • sensor data analysis.

Abstract

The purpose of TRIS was to develop methods and techniques for a decision support system for monitoring of the status of individuals. Monitoring was intended to occur through collection of physiological information and different forms of context information. The system should collect, filter, fuse and visualize this information to support the users' decision process. Relevant status information should be quickly available to the user in accordance with his/her wishes and requirements. A decision support system for monitoring of status of individuals should have components/functions for automatic collection of sensor data through sensors and communication system, for automatic sensor data analysis and for user interaction. Today there is no known decision support systems for monitoring of the status of individuals in the sense defined above. The systems that are used today mainly consist of components for data collection and visualization, but lack mature components for automatic sensor data analysis. Bayesian techniques for automatic sensor data analysis are possible to use for analysis of physiological data. There is for instance good potential for automatic activity classification and event classification. F-REX (FOI Reconstruction and EXploration tool) has good potential to develop into a decision support tool for monitoring of status of individuals. Continued development is necessary to increase the usability in systems for monitoring of individuals status. Data collection components and communication modules most be improved with respect to weight, size and energy consumption. Commercially available technology does not meet necessary requirements. Systems for monitoring of individuals status are mainly useful in connection with training, test activities and research with the purpose of finding how new forms of e.g. equipment or environments affect the individual. It is of interest to develop new measures of physiological exertion, stress levels and environmental factors that can be evaluated against the result of the exercise.