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

By Stephen H. Fairclough, Kiel Gilleade

ISBN-10: 1447163915

ISBN-13: 9781447163916

This edited assortment will supply an outline of the sector of physiological computing, i.e. using physiological indications as enter for laptop 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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G. Lin 2011) could reduce the obtrusiveness of the system, and sensors already existing in vehicles such as speedometers and clocks could provide context information. Less critical applications such as home entertainment are unlikely to see widespread use until physiological computing has been made less expensive, less intrusive, and better at performing psychophysiological inference. An expensive or obtrusive device will never be used by consumers, and an inaccurate one will serve more as a novelty than anything else.

2012). The third option is by far the most general, as guaranteeing high-quality raw data guarantees usability of an ambulatory system in a variety of applications. It can, however, be problematic for physiological computing developers, as it can be very difficult to ensure that the ambulatory and reference system are measuring the same data. For instance, as electrodes from two sensors cannot be placed in the exactly same spots at the same time, it is impossible to measure the exactly same signals even using identical sensors (Chi et al.

The evaluation of different windows and the evaluation of potential new features are both better suited for basic psychophysiological research than for physiological computing, but an easy first step would be to identify a set of potential window lengths and/or new features, then calculate features on old data from several published studies and evaluate how well-correlated they are with psychological information. Inferring Psychological States Inferring the subject’s psychological state from measured physiological responses represents a major challenge in physiological computing, and requires knowledge of both psychology and computer science.

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