Improving Smart Lighting with Activity Recognition Using Hierarchical Hidden Markov Model

Authors

  • Nur Ghaniaviyanto Ramadhan Telkom University
  • Aji Gautama Putrada Telkom University
  • Maman Abdurohman Telkom University

DOI:

https://doi.org/10.34818/INDOJC.2019.4.2.307

Abstract

This paper has the aim of implementing the smart lighting systems that is able to analyze daily
movement activities, analyze the performance of hierarchical hidden markov models as predictions
and analyze the performance of smart lighting with activity analysis using hierarchical hidden
markov models. The purpose is to answer the problems that occur, namely the smart lights only turn
on if users are right under the lights so users need a smart light which is able to read the movement
of people when approaching the lamp or not. Secondly, there are also smart lights, but when users
are under the lights, it only lights up for a few seconds which should light up if there is a person
below or a radius around the lamp so that a smart light is needed when someone is underneath and
the lights will die it is outside the radius around the lamp. The model used is the hierarchical hidden
markov model which is an extension of the hidden markov model which can solve the problem of
evaluation, conclusion and learning with the algorithm used is the viterbi algorithm. The result
obtained using HHMM are accuracy of 93%, 92% recall and 86% precision.

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Author Biographies

Nur Ghaniaviyanto Ramadhan, Telkom University

Department of Informatics, Telkom University, Bandung, Jawa Barat

Aji Gautama Putrada, Telkom University

Department of Informatics, Telkom University, Bandung, Jawa Barat

Maman Abdurohman, Telkom University

Department of Informatics, Telkom University, Bandung, Jawa Barat

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Published

2019-09-09

How to Cite

Ramadhan, N. G., Putrada, A. G., & Abdurohman, M. (2019). Improving Smart Lighting with Activity Recognition Using Hierarchical Hidden Markov Model. Indonesian Journal on Computing (Indo-JC), 4(2), 43–54. https://doi.org/10.34818/INDOJC.2019.4.2.307

Issue

Vol. 4 No. 2 (2019): September, 2019

Section

Computer Science

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