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Machine Learning-Based Method and Its Performance Analysis for Occupancy Detection in Indoor Environment

  • Sachin KumarEmail author
  • Shobha Rai
  • Rampal Singh
  • Saibal K. Pal
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 678)

Abstract

Occupancy detection is very interesting research problem which may help in understanding ambient dynamics of the environment, resource utilisation, energy conservation and consumption, electricity usages and patterns, security and privacy related aspects. In addition to this, achieving good accuracy for occupancy detection problem in the home and commercial buildings can help in cost reduction substantially. In this paper, we explain one experiment in which data for occupancy and ambient attributes have been collected. This paper develops machine learning-based intelligent occupancy detection model and compare the results with several machine learning techniques in a detailed manner.

Keywords

Occupancy detection CART Naive Bayes SVM Logistic regression LDA Classification 

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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Sachin Kumar
    • 1
    Email author
  • Shobha Rai
    • 2
  • Rampal Singh
    • 3
  • Saibal K. Pal
    • 4
  1. 1.Department of Computer Science and Cluster Innovation CentreUniversity of DelhiDelhiIndia
  2. 2.Cluster Innovation CentreUniversity of DelhiDelhiIndia
  3. 3.DDUCUniversity of DelhiDelhiIndia
  4. 4.Defence Research Development OrganisationDelhiIndia

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