Malmö University Publications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Using the Internet of Things to Support Emotional Health
Malmö University, Internet of Things and People (IOTAP). Malmö University, Faculty of Technology and Society (TS), Department of Computer Science and Media Technology (DVMT).
Malmö University, Internet of Things and People (IOTAP). Malmö University, Faculty of Technology and Society (TS), Department of Computer Science and Media Technology (DVMT).ORCID iD: 0000-0002-2784-2238
2018 (English)In: EAI Endorsed Transactions on Ambient Systems, ISSN 2032-927X, Vol. 17, no 18, article id e1Article in journal (Refereed) Published
Abstract [en]

A first step towards emotional well-being is to monitor, understand and reflect upon one’s feelings and emotions. A number of personal emotion-tracking applications are available today. In this paper we describe an examination of these applications which indicates that many of the applications do not provide sufficient support for monitoring a full spectrum of emotional data or for analysing or using the data that is provided. To design applications that better support emotional well-being, the full capabilities of the Internet of Things should be utilized. The paper concludes with a description of how Internet of Things technologies can enable the development of systems that can more accurately capture emotional data and support personal learning in the area of emotional health.

Place, publisher, year, edition, pages
EAI , 2018. Vol. 17, no 18, article id e1
Keywords [en]
emotion-tracking, emotion apps, Internet of Things, Smart Health
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:mau:diva-2355DOI: 10.4108/eai.23-3-2018.154372Local ID: 27172OAI: oai:DiVA.org:mau-2355DiVA, id: diva2:1399108
Available from: 2020-02-27 Created: 2020-02-27 Last updated: 2022-04-26Bibliographically approved

Open Access in DiVA

fulltext(159 kB)136 downloads
File information
File name FULLTEXT01.pdfFile size 159 kBChecksum SHA-512
5141378dd4f9dc147ad0f8941c66fa49d5e712e735b6305514034aea89de6d4b23c27854156a8acbfc35d33fe13e61b61ae817dd71d343e3a3aa7aff55baaae4
Type fulltextMimetype application/pdf

Other links

Publisher's full text

Authority records

Eriksson, JeanetteRusso, Nancy L

Search in DiVA

By author/editor
Eriksson, JeanetteRusso, Nancy L
By organisation
Internet of Things and People (IOTAP)Department of Computer Science and Media Technology (DVMT)
Engineering and Technology

Search outside of DiVA

GoogleGoogle Scholar
Total: 136 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 118 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf