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Title: A comprehensive review of hidden Markov model applications in prediction of human mobility patterns

Authors: Neha Rajawat; Navneet Gupta; Soniya Lalwani

Addresses: Career Point University, Kota, Rajasthan, 324005, India ' J.L.N.T.T. College, Kota, Rajasthan, 324008, India ' Bal Krishna Institute of Technology, Kota, Rajasthan, 325003, India

Abstract: Proposed work reviews the research and development of HMM, in finding out the mobility patterns and keeping the main focus on the state-of-the-art. Concepts related to Markov chains are explained and then the ideas are extended to the class of HMMs using several simple examples. The mathematics of the HMM is presented, beginning with the Markov chain and then including the three main constituent algorithms: the Viterbi algorithm, the forward algorithm, and the Baum-Welch. Throughout the text, the description of the theory is intertwined with real-world applications.

Keywords: hidden Markov model; human mobility pattern; Viterbi algorithm; forward algorithm; Baum-Welch algorithm.

DOI: 10.1504/IJSI.2021.10037385

International Journal of Swarm Intelligence, 2021 Vol.6 No.1, pp.24 - 47

Received: 15 Jun 2019
Accepted: 06 Mar 2020

Published online: 05 May 2021 *

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