Emotions in context: examining pervasive affective sensing systems, applications, and analyses

Eiman Kanjo, Luluah Al-Husain, Alan Chamberlain*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

85 Citations (Scopus)

Abstract

Pervasive sensing has opened up new opportunities for measuring our feelings and understanding our behavior by monitoring our affective states while mobile. This review paper surveys pervasive affect sensing by examining and considering three major elements of affective pervasive systems, namely “sensing,” “analysis,” and “application.” Sensing investigates the different sensing modalities that are used in existing real-time affective applications, analysis explores different approaches to emotion recognition and visualization based on different types of collected data, and application investigates different leading areas of affective applications. For each of the three aspects, the paper includes an extensive survey of the literature and finally outlines some of challenges and future research opportunities of affective sensing in the context of pervasive computing.

Original languageEnglish
Pages (from-to)1197-1212
Number of pages16
JournalPersonal and Ubiquitous Computing
Volume19
Issue number7
DOIs
Publication statusPublished - 26 Oct 2015

Keywords

  • Affect sensing
  • Affective computing
  • Applications
  • Context
  • Emotion recognition
  • Mobile
  • Mobile sensing
  • Pervasive computing
  • Ubiquitous computing

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