Research Article
A Spatial-Contextual Indoor Trajectory Prediction Approach via Hidden Markov Models
input: A set of indoor trajectory sequences | output: The predicted trajectory point at timestamp. | 1: Initialize parameters; | 2: if T.length 0 then | 3: Return FALSE; | 4: end if | 5: RT =Viterbi(T); | 6: for i =0 to m_DimA do | 7: Compute ProNext | 8: Rank | 9: end for | 10: Return |
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