Managing uncertainty: modeling users in location-tracking applications

Managing uncertainty: modeling users in location-tracking applications

Uncertainty-management techniques that ignore the distinctiveness of individuals will either fail or incur a high cost in system resources. Location-tracking applications must consider the individual user's characteristics, habits, and preferences to estimate his or her location more effectivel...

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Veröffentlicht in:IEEE pervasive computing 2004-07, Vol.3 (3), p.60-65
Hauptverfasser: Abdelsalam, W., Ebrahim, Y.
Format: Artikel
Sprache:eng
Schlagworte:
Advertising
Application software
Belief networks
Computation
Costs
Estimates
Habits
Layout
Mathematical models
Pervasive computing
Position (location)
Predictive models
Queries
Road accidents
Senior citizens
Target tracking
Uncertainty
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Beschreibung
Zusammenfassung:Uncertainty-management techniques that ignore the distinctiveness of individuals will either fail or incur a high cost in system resources. Location-tracking applications must consider the individual user's characteristics, habits, and preferences to estimate his or her location more effectively. We discuss human-controlled moving objects, called roving users. A typical RU application tracks each RU's location to answer queries about the person's whereabouts at any particular time. We also discuss about the belief networks that models the user habits. We also discuss about the belief networks that models the user habits.
ISSN:1536-1268
1558-2590
DOI:10.1109/MPRV.2004.1321030