A short review and primer on using video for psychophysiological observations in human-computer interaction applications
Teppo Valtonen

TL;DR
This paper provides an accessible overview of using video-based psychophysiological measures in human-computer interaction, emphasizing non-invasive techniques suitable for real-world applications and recent technological advancements.
Contribution
It offers a comprehensive primer on video-based psychophysiological methods tailored for HCI, highlighting recent developments and practical considerations for novices.
Findings
Video allows non-invasive measurement of psychophysiological signals.
Advancements in camera technology improve detection accuracy.
Video-based methods are suitable for everyday HCI applications.
Abstract
The application of psychophysiological measures in human-computer interaction is a growing field with significant potential for future smart personalised systems. Working in this emerging field requires comprehension of an array of physiological signals and analysis techniques. An important aspect in measuring psychophysiological variables in real-world settings is the invasiveness of the measurement setup. Video is a signal which can be captured from a distance without interrupting the subject. Furthermore, the advancements in camera technologies enable detecting a growing variety of psychophysiological phenomena from a video signal with an increasing accuracy. This paper aims to serve as a primer for the novice, enabling rapid familiarisation with the latest core concepts. We put special emphasis on everyday human-computer interface applications to distinguish from the more common…
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Taxonomy
TopicsNon-Invasive Vital Sign Monitoring · Heart Rate Variability and Autonomic Control · Cardiovascular and exercise physiology
