SenseCare: Using Automatic Emotional Analysis to Provide Effective Tools for Supporting

Ryan Donovan, Michael Healy, Huiru Zheng, Felix Engel, Binh Vu, Michael Fuchs, Paul Walsh, Matthias Hemmje, PM McKevitt

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

5 Citations (Scopus)

Abstract

Dementia has a severe impact on emotional functioning. People with dementia tend to find it difficult to recognize, articulate, and express their emotions. This can have a damaging effect on their mental health and the quality of their social relationships. With global populations increasingly aging, the need to address these issues becomes more prominent. One potential aid in tackling such problems is the use of sensor technologies and machine learning algorithms to make face-to-state analysis and classification of emotion status so as to provide care support. This paper describes the SenseCare system that uses affective computing methodology to capture, analyze, and store information on emotional outputs in the aim of providing effective tools for caregivers and medical professionals to provide more holistic care to people with dementia.
Original languageEnglish
Title of host publication2018 IEEE International Conference on Bioinformatics and Biomedicine(BIBM 2018)
Place of PublicationMadrid, Spain
PublisherIEEE
Pages2682-2687
Number of pages5
ISBN (Electronic)978-1-5386-5488-0
ISBN (Print)978-1-5386-5489-7
DOIs
Publication statusPublished - 3 Dec 2018

Keywords

  • DEMENTIA
  • DATA INTEGRATION
  • ONTOLOGIES
  • semantics
  • STREAMING MEDIA
  • COMPUTER SCIENCE

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