By Stephen H. Fairclough, Kiel Gilleade
This edited assortment will offer an outline of the sphere of physiological computing, i.e. using physiological indications as enter for laptop keep watch over. it's going to conceal a breadth of present examine, from brain-computer interfaces to telemedicine.
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Extra info for Advances in Physiological Computing
Chi et al. 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.
Very explicit actions should be taken only occasionally, as they may otherwise upset the users. Consider the example of changing the difficulty of the game: if the difficulty changes every ten seconds, users may become annoyed at the inability to enjoy a stable game experience. Conversely, if the system offers assistance every ten seconds, users may become upset as attention is drawn to their poor performance. Implicit, unobtrusive actions such as changing the lighting of the room can be taken more often, but have two disadvantages.
Devices such as the Emotiv EPOC allow EEG to be measured unobtrusively and at a far lower cost, but with also an obviously lower accuracy (Duvinage et al. 2012). The question is then: how much accuracy must we sacrifice to obtain a consumer-friendly device? Research-grade sensors are usually made for a variety of possible situations. g. Brunner et al. 2011). Some sensors can be made contactless: for instance, temperature could be measured using infrared cameras. Others can be built into the user interface or the surrounding environment.