A multimodal emotion-focused e-health monitoring support system

Jing Chen, Bin Hu, Na Li, Chengsheng Mao, Philip Moore

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

2 Scopus citations

Abstract

Accounting for a patient's emotional state is integral in medical care. Positive emotions have a significant influence on mental and physical health. Much research has been carried out on the impact of emotion on the development and course of different illnesses. Emotion and significant contexts have an important role in helping people cope with depression, but lack of support undermines coping. In this paper, we present an emotion-focused e-health monitoring support system in assisting them to cope with their illness. In the system proposed, a user could monitor his emotional states in the absence of a doctor and regulate his emotions through the system. To provide personalized health care services to the user anywhere and anytime, the system should convert low-level multimodal context (including physiological signal, user profile and environment information) to high-level context. The objective of this research is establishing an emotion-focused e-health system for health care services.

Original languageEnglish (US)
Title of host publicationProceedings - 2013 7th International Conference on Complex, Intelligent, and Software Intensive Systems, CISIS 2013
Pages505-510
Number of pages6
DOIs
StatePublished - 2013
Externally publishedYes
Event2013 7th International Conference on Complex, Intelligent, and Software Intensive Systems, CISIS 2013 - Taichung, Taiwan, Province of China
Duration: Jul 3 2013Jul 5 2013

Publication series

NameProceedings - 2013 7th International Conference on Complex, Intelligent, and Software Intensive Systems, CISIS 2013

Conference

Conference2013 7th International Conference on Complex, Intelligent, and Software Intensive Systems, CISIS 2013
Country/TerritoryTaiwan, Province of China
CityTaichung
Period7/3/137/5/13

Keywords

  • Context
  • E-health System
  • Emotions
  • Physiological signals

ASJC Scopus subject areas

  • Artificial Intelligence
  • Software

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