A short review and primer on online processing of multiple signal sources in human computer interaction applications
Jari Torniainen, Andreas Henelius

TL;DR
This paper reviews the use of stream processing systems for real-time analysis of multimodal physiological signals in human-computer interaction, emphasizing practical applications and system design considerations.
Contribution
It provides a comprehensive primer on stream processing solutions and analysis techniques tailored for HCI applications involving physiological signals.
Findings
Overview of hardware and software SPS solutions for HCI
Design considerations for analyzing physiological signals
Focus on everyday HCI applications rather than clinical or sports uses
Abstract
The application of psychophysiological 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. Stream processing sytems (SPS) are emerging computational platforms that can be utilized in human-computer interaction for real-time analysis of high-volume multimodal signals. Usage of complementary information contained in multiple signals is desireable as it can make HCI systems more robust. In this preprint we review existing software and hardware solutions for HCI-centric stream processing systems. The preprint also includes a brief introduction into SPS design considerations and structure from the perspective of analysing physiological signals. This paper aims to serve as a primer for the novice, enabling rapid…
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Taxonomy
TopicsEEG and Brain-Computer Interfaces · Blind Source Separation Techniques · ECG Monitoring and Analysis
