An intelligent framework for emotion aware e-healthcare support systems

Faiyaz Doctor, Charalampos Karyotis, Rahat Iqbal, Anne James

Abstract

There is a prominent connection between human health and human emotion. This connection has encouraged researchers to produce numerous applications in order to facilitate patients and therapists. In this paper, through a review study we highlight how the development of intelligent emotion aware e-health systems can facilitate patient's satisfaction, emotion wellbeing, and physical health, and improve the quality of service offered by health care related businesses. Moreover, we discuss the challenges and difficulties concerning emotion recognition and modelling systems responsible for representing the patient's affective state in real life health care environments. In our research, we aim to address these challenges by proposing a novel framework for developing emotion aware health care support systems. The suggested methodology enables a holistic and reflective representation of the patient's affective state, and incorporates a number of design choices that are suitable for emotion modelling and recognition in the context of a real life health care environment. This methodology leads to the development of a unique emotion aware health care support system, which utilizes Fuzzy Logic to recognize the patient's affective state based on basic cognitive/affective cues, such as the patient's predictions and evaluations of a treatment. The system based on the calculated emotion recognition results, delivers tailored feedback to influence the patient towards a desired and beneficial affective state. As demonstrated in this paper, the proposed emotion-modelling methodology could be very useful when applied in specific real life contexts to develop novel health care systems that are able to accurately monitor and predict their user's emotions.

Original languageEnglish
Title of host publication2016 IEEE Symposium Series on Computational Intelligence, SSCI 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages9
ISBN (Electronic)978-1-5090-4240-1
ISBN (Print)978-1-5090-4241-8
DOIs
StatePublished - 9 Feb 2017
Event2016 IEEE Symposium Series on Computational Intelligence - Athens, Greece

Conference

Conference2016 IEEE Symposium Series on Computational Intelligence
Abbreviated titleSSCI 2016
CountryGreece
CityAthens
Period6/12/169/12/16

Fingerprint

Health care
Health
Fuzzy logic
Quality of service
Feedback
Industry

Keywords

  • affective medicine
  • E-health
  • Emotion Modelling
  • emotional wellbeing
  • Fuzzy Logic
  • human emotion and physical health
  • patient's satisfaction

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems and Management
  • Control and Optimization
  • Artificial Intelligence

Cite this

Doctor, F., Karyotis, C., Iqbal, R., & James, A. (2017). An intelligent framework for emotion aware e-healthcare support systems. In 2016 IEEE Symposium Series on Computational Intelligence, SSCI 2016 [7850044] Institute of Electrical and Electronics Engineers Inc.. DOI: 10.1109/SSCI.2016.7850044

An intelligent framework for emotion aware e-healthcare support systems. / Doctor, Faiyaz; Karyotis, Charalampos; Iqbal, Rahat; James, Anne.

2016 IEEE Symposium Series on Computational Intelligence, SSCI 2016. Institute of Electrical and Electronics Engineers Inc., 2017. 7850044.

Research output: Chapter in Book/Report/Conference proceedingConference proceeding

Doctor, F, Karyotis, C, Iqbal, R & James, A 2017, An intelligent framework for emotion aware e-healthcare support systems. in 2016 IEEE Symposium Series on Computational Intelligence, SSCI 2016., 7850044, Institute of Electrical and Electronics Engineers Inc., 2016 IEEE Symposium Series on Computational Intelligence, Athens, Greece, 6-9 December. DOI: 10.1109/SSCI.2016.7850044
Doctor F, Karyotis C, Iqbal R, James A. An intelligent framework for emotion aware e-healthcare support systems. In 2016 IEEE Symposium Series on Computational Intelligence, SSCI 2016. Institute of Electrical and Electronics Engineers Inc.2017. 7850044. Available from, DOI: 10.1109/SSCI.2016.7850044

Doctor, Faiyaz; Karyotis, Charalampos; Iqbal, Rahat; James, Anne / An intelligent framework for emotion aware e-healthcare support systems.

2016 IEEE Symposium Series on Computational Intelligence, SSCI 2016. Institute of Electrical and Electronics Engineers Inc., 2017. 7850044.

Research output: Chapter in Book/Report/Conference proceedingConference proceeding

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