Markov Models for predicting the Internet of Behaviour (IoB) of tourists: Optical Camera Communications (OCC) as a localization tool for indoor touristic scenarios

  1. Rufo Torres, Saray
  2. Aguiar-Castillo, Lidia
  3. Rufo-Torres, Julio 1
  4. Rabadan-Borges, Jose
  5. Pérez-Jiménez, Rafael
  1. 1 Universidad de La Laguna
    info

    Universidad de La Laguna

    San Cristobal de La Laguna, España

    ROR https://ror.org/01r9z8p25

Actas:
ITSA-9th Biennial Conference: Corporate Entrepreneurship and Global Tourism Strategies After Covid 19

Editorial: ITSA

ISBN: 978-84-09-38635-2

Año de publicación: 2022

Tipo: Aportación congreso

GOOGLE SCHOLAR lock_openAcceso abierto editor

Resumen

This work proposes a simulation tool of a system aimed to predict the movements of tourists in an indoor scenario. It is based on a visible light positioning (VLP) system using LED lamps and an App in the user's mobile phone. VLP offers a dual illumination-location solution and provides highly accurate indoor positioning data of the user, able to feed Big Data analysis routines based on the Internet-of-behaviour paradigm through Markov models. The development of this tool is the first step to confirm the suitability of Markov models on behaviour predicting using VLP, with particular emphasis on the tourism and leisure industries. This work will open new research guidelines on these environments, significantly to ease the decision-making process in hospitality facilities In the final paper, results obtained through an experimental mock-up system will be presented to validate the proposed prediction model.