Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

Advances in Physiological ComputingEngineering Issues in Physiological Computing

Advances in Physiological Computing: Engineering Issues in Physiological Computing [Prototypes of physiological computing systems have appeared in countless fields, but few have made the leap from research to widespread use. This is due to several practical problems that can be roughly divided into four major categories: hardware, signal processing, psychophysiological inference, and feedback loop design. This chapter explores these issues from an engineering point of view, discussing major weaknesses and suggesting directions for potential solutions. Specifically, some of the topics covered are: unobtrusiveness and robustness of the hardware, real-time signal processing capability, different approaches to design and validation of a psychophysiological classifier, and the desired complexity of the feedback rules. The chapter also briefly discusses the challenge of finding an appropriate practical application for physiological computing, then ends with a summary of recommendations for future research.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Advances in Physiological ComputingEngineering Issues in Physiological Computing

Part of the Human–Computer Interaction Series Book Series
Editors: Fairclough, Stephen H.; Gilleade, Kiel
Novak, Domen
Advances in Physiological Computing — Mar 27, 2014
Download PDF
22 pages

Loading next page...
 
/lp/springer-journals/advances-in-physiological-computing-engineering-issues-in-vK0obkM2To
Publisher
Springer London
Copyright
© Springer-Verlag London 2014
ISBN
978-1-4471-6391-6
Pages
17 –38
DOI
10.1007/978-1-4471-6392-3_2
Publisher site
See Chapter on Publisher Site

Abstract

[Prototypes of physiological computing systems have appeared in countless fields, but few have made the leap from research to widespread use. This is due to several practical problems that can be roughly divided into four major categories: hardware, signal processing, psychophysiological inference, and feedback loop design. This chapter explores these issues from an engineering point of view, discussing major weaknesses and suggesting directions for potential solutions. Specifically, some of the topics covered are: unobtrusiveness and robustness of the hardware, real-time signal processing capability, different approaches to design and validation of a psychophysiological classifier, and the desired complexity of the feedback rules. The chapter also briefly discusses the challenge of finding an appropriate practical application for physiological computing, then ends with a summary of recommendations for future research.]

Published: Mar 27, 2014

Keywords: Heart Rate Variability; Psychological State; Skin Conductance; Skin Conductance Response; Dynamic Bayesian Network

There are no references for this article.