[1]WANG Zhi-liang,YANG Yi,YANG Yang,et al.A periodic time-varying Markov model for indoor location prediction[J].CAAI Transactions on Intelligent Systems,2009,4(6):521-527.[doi:10.3969/j.issn.1673-4785.2009.06.009]
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A periodic time-varying Markov model for indoor location prediction

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 4 Number of periods: 2009 6 Page number: 521-527 Column: 学术论文—人工智能基础 Public date: 2009-12-25
Title:
A periodic time-varying Markov model for indoor location prediction
Author(s):
WANG Zhi-liang1;  YANG Yi1;  YANG Yang1; 2;  ZHANG Qiong1
1. School of Information Engineering, University of Science and Technology Beijing, Beijing 100083, China; 2. College of Information Engineering, North China University of Technology， Beijing 100144, China
Keywords:
Markov model;  location awareness;  artificial intelligence;  smart homes
CLC:
TP31；TP391
DOI:
10.3969/j.issn.1673-4785.2009.06.009
Abstract:
A location-based time-varying Markov model was designed to predict the next location (or room) of the inhabitants of a smart home environment. The model used periodic characteristics of inhabitant behavior in a three-dimensional simulation environment, or “virtual smart home”. This was established in order to simulate and compare different predictive models. The simulation results showed the proposed method decreased time complexity, increased predictive accuracy and improved convergences rates compared to other models. This method can be used to implement real-time and highly accurate predictions of location in a smart home environment.
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