A comparison of Bayesian filter based approaches for patient localization during emergency response to crisis

Proceedings - 2009 3rd International Conference on Sensor Technologies and Applications, SENSORCOMM 2009

Volumn , Issue , 2009, Pages 636-642

  Chandra Sekaran, Ashok Kumar ^a   Weisser, Pascal ^a   Müller Glaser, Klaus D ^a   Kunze, Christophe ^b  

^a UNIVERSITY OF KARLSRUHE   (Germany)

^b FZI RESEARCH CENTER FOR INFORMATION TECHNOLOGY   (Germany)

Author keywords

Bayesian filter based algorithms; Emergency response; Patient localization; Simulation

Indexed keywords

BAYESIAN FILTER BASED ALGORITHMS; BAYESIAN FILTERS; DISASTER MANAGEMENT; EMERGENCY RESPONSE; EMERGENCY RESPONSE SYSTEMS; LOCATION-AWARE; LOGISTIC SUPPORT; MASS CASUALTY; MOBILITY MODEL; MONTE CARLO; PATIENT LOCALIZATION; PATIENT TRACKING; RANDOM WAYPOINTS; RANGE-BASED; REAL-TIME LOCALIZATION; REALISTIC CONDITIONS; SIMULATION; UNSCENTED KALMAN FILTER;

ALGORITHMS; BAYESIAN NETWORKS; CONTROL THEORY; DISASTER PREVENTION; SENSORS; SIMULATORS; WIRELESS TELECOMMUNICATION SYSTEMS;

WIRELESS SENSOR NETWORKS;

EID: 70449478180     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SENSORCOMM.2009.104     Document Type: Conference Paper

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