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

September 12, 2018 ยท The Cartographer ยท ๐Ÿ› IEEE transactions on multimedia

๐Ÿ“š THE CARTOGRAPHER: The Cartographer
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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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