Get Advances in Physiological Computing PDF

By Stephen H. Fairclough, Kiel Gilleade

ISBN-10: 1447163915

ISBN-13: 9781447163916

ISBN-10: 1447163923

ISBN-13: 9781447163923

This edited assortment will offer an outline of the sector of physiological computing, i.e. using physiological signs as enter for machine regulate. it's going to conceal a breadth of present study, from brain-computer interfaces to telemedicine.

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Extra resources for Advances in Physiological Computing

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A, by now slightly outdated, list of ambulatory hardware was compiled by Ebner-Priemer and Kubiak (2007). The Trade-Off Between Unobtrusiveness and Accuracy The main weakness of research-grade physiological sensors is their obtrusiveness, as complex setups and controlled conditions are required to achieve good results. As an example, consider electroencephalography (EEG), which requires the 2 Engineering Issues in Physiological Computing 19 subject to wear a cap with electrodes. For proper measurement, the head needs to be measured and the cap needs to be properly applied to ensure proper electrode positioning.

Springer, New York Wiener N (1964) God and golem inc. MIT Press, Cambridge Wilson GF, Russell CA (2007) Performance enhancement in an uninhabited air vehicle task using psychophysiologically determined adaptive aiding. Hum Factors 49:1005–1018 Chapter 2 Engineering Issues in Physiological Computing Domen Novak 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.

G. spectral analysis of heart rate or EEG) require significant computing power to calculate. In general, it seems most appropriate to perform feature extraction once per instance of psychophysiological inference. This feature extraction should be performed over a time period (‘window’) spanning from a point in the past to the present moment. It is unclear, however, what the best length of the feature extraction window is. The upper bound is likely the time between instances of psychophysiological inference: since (we assume) an action is performed by the physiological computing system after each inference, measurements taken before the action should be irrelevant to the current state.

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Advances in Physiological Computing by Stephen H. Fairclough, Kiel Gilleade

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