Facial expression based satisfaction index for empathic buildings

Fahad Sohrab, Jenni Raitoharju, Moncef Gabbouj

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Abstract

In this work, we examine the suitability of automatic facial expression recognition to be used for satisfaction analysis in an Empathic Building environment. We use machine learning based facial expression recognition on the working stations to integrate an online satisfaction index into Empathic Building platform. To analyze the suitability of facial expression recognition to reflect longer-term satisfaction, we examine the changes and trends in the happiness curves of our test users. We also correlate the happiness curve with temperature, humidity, and light intensity of the test users' local city (Tampere Finland). The results indicate that the proposed analysis indeed shows some trends that may be used for long-term satisfaction analysis in different kinds of intelligent buildings.

Original languageEnglish
Title of host publicationUbiComp/ISWC 2020 Adjunct - Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers
PublisherACM
Pages704-707
Number of pages4
ISBN (Electronic)9781450380768
DOIs
Publication statusPublished - 10 Sep 2020
Publication typeA4 Article in a conference publication
EventACM International Joint Conference on Pervasive and Ubiquitous Computing - Virtual, Online, Mexico
Duration: 12 Sep 202017 Sep 2020

Publication series

NameUbiComp/ISWC 2020 Adjunct - Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers

Conference

ConferenceACM International Joint Conference on Pervasive and Ubiquitous Computing
CountryMexico
CityVirtual, Online
Period12/09/2017/09/20

Keywords

  • empathic building
  • facial expressions
  • machine learning
  • satisfaction index

Publication forum classification

  • Publication forum level 2

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Software
  • Hardware and Architecture

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