A Spatial-Contextual Indoor Trajectory Prediction Approach via Hidden Markov Models

Table 1

Notations used in the paper.

Symbol	Description
	Wi-Fi access point in the shopping mall
	Similarity between access points according to their shop categories
	Trajectory point is a combination of and association time
	Similarity threshold between access points
	A sequence of time-ordered indoor trajectory points
	Indoor trajectory database
	Hidden states in the HMM
	Observation states in the HMM
	Initial probability of choosing state
	Probability of transforming form hidden state to hidden state
	Probability of transforming from hidden state to observation state
	Indoor Hidden Markov model
	The Hidden Markov model regarding shop category
	A group of trajectory points
	Threshold of time duration between two consecutive trajectory points