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Building Multi-occupancy Analysis and Visualization Through Data Intensive Processing

  • Dimosthenis Ioannidis
  • Pantelis Tropios
  • Stelios KrinidisEmail author
  • Dimitris Tzovaras
  • Spiridon Likothanassis
Conference paper
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 475)

Abstract

A novel Building Multi-occupancy Analysis & Visualization through Data Intensive Processing techniques is going to be presented in this paper. Building occupancy monitoring plays an important role in increasing energy efficiency and provides useful semantic information about the usage of different spaces and building performance generally. In this paper the occupancy extraction subsystem is constituted by a collection of depth image cameras and a multi-sensorial cloud (utilizing big data from various sensor types) in order to extract the occupancy per space. Furthermore, a number of novel visual analytics techniques allow the end-users to process big data in different temporal resolutions in a compact and comprehensive way taking into account properties of human cognition and perception, assisting them to detect patterns that may be difficult to be detected otherwise. The proposed building occupancy analysis system has been tested and applied to various spaces of CERTH premises with different characteristics in a real-life testbed environment.

Keywords

Big data analysis Building occupancy Occupancy extraction Human presence Building occupancy visualization 

Notes

Acknowledgement

This work has been partially supported by the European Commission through the project HORIZON 2020-RESEARCH & INNOVATION ACTIONS (RIA)-696129-GREENSOUL.

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Copyright information

© IFIP International Federation for Information Processing 2016

Authors and Affiliations

  • Dimosthenis Ioannidis
    • 1
    • 2
  • Pantelis Tropios
    • 1
  • Stelios Krinidis
    • 1
    Email author
  • Dimitris Tzovaras
    • 1
  • Spiridon Likothanassis
    • 2
  1. 1.Information Technologies Institute, Centre for Research and Technology HellasThermi-ThessalonikiGreece
  2. 2.Computer Engineering and InformaticsUniversity of PatrasRio, PatrasGreece

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