Implicit Analysis of Perceptual Multimedia Experience Based on Physiological Response: A Review
September 12, 2018 ยท The Cartographer ยท ๐ IEEE transactions on multimedia
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"Title-pattern auto-detect: Implicit Analysis of Perceptual Multimedia Experience Based on Physiological Response: A Review"
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Authors
Seong-Eun Moon, Jong-Seok Lee
arXiv ID
1809.04254
Category
cs.HC: Human-Computer Interaction
Cross-listed
cs.MM
Citations
45
Venue
IEEE transactions on multimedia
Last Checked
2 days ago
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 spectroscopy) 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.
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