Implicit Analysis of Perceptual Multimedia Experience Based on Physiological Response: A Review

Seong Eun Moon, Jong Seok Lee

Research output: Contribution to journalReview article

11 Citations (Scopus)

Abstract

The exponential growth of popularity of multimedia has led to needs for user-centric adaptive applications that manage multimedia content more effectively. Implicit analysis, which examines users' perceptual experience of multimedia by monitoring physiological or behavioral cues, has potential to satisfy such demands. Particularly, physiological signals categorized into cerebral physiological signals (electroencephalography, functional magnetic resonance imaging, and functional near-infrared spectro-scopy) and peripheral physiological signals (heart rate, respiration, skin temperature, etc.) have recently received attention along with notable development of wearable physiological sensors. In this paper, we review existing studies on physiological signal analysis exploring perceptual experience of multimedia. Furthermore, we discuss current trends and challenges.

Original languageEnglish
Pages (from-to)340-353
Number of pages14
JournalIEEE Transactions on Multimedia
Volume19
Issue number2
DOIs
Publication statusPublished - 2017 Feb

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Media Technology
  • Computer Science Applications
  • Electrical and Electronic Engineering

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