论文信息 - Person Movement Prediction Using Hidden Markov Models

Person Movement Prediction Using Hidden Markov Models

Ubiquitous systems use context information to adapt appliance behavior to human needs. Even more convenience is reached if the appliance foresees the user's desires and acts proactively. This paper introduces Hidden Markov Models, in order to anticipate the next movement of some persons. The optimal configuration of the model is determined by evaluating some movement sequences of real persons within an office building. The simulation results show accuracy in next location prediction reaching up to 92%.

Arpad Gellert | Theo Ungerer | Lucian Vintan | Lucian Blaga | Lucian N. Vinţan

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