By Twan Basten, Marc Geilen, Harmke de Groot
Hugo de guy Professor Katholieke Universiteit Leuven Senior learn Fellow IMEC The regular evolution of undefined, software program and communications expertise is swiftly remodeling the computer- and dot.com global into the realm of Ambient Intelligence (AmI). This subsequent wave of data expertise is fundam- tally assorted in that it makes disbursed stressed and instant computing and verbal exchange disappear to the heritage and places clients to the foreground. AmI adapts to humans rather than the wrong way round. it is going to increase our recognition, display screen our health and wellbeing and safety, advisor us via site visitors and so on. briefly, its final aim is to enhance the standard of our existence by means of a quiet, trustworthy and safe interplay with our social and fabric setting. What makes AmI engineering so interesting is that its layout starts off from learning individual to global interactions that must be applied as an int- ligent and independent interaction of almost all valuable networked digital intelligence at the globe. it is a new and intriguing size for many pick- cal and software program engineers and will allure extra artistic expertise to engineering than natural expertise does. improvement of the top know-how for AmI will basically be triumphant if the engineering learn neighborhood is ready to affix forces with a view to make Mark Weiser’s dream of 1991 come actual. this may now not be enterprise as ordinary by way of simply doubling transistor count number or clock velocity in a microprocessor or expanding the bandwidth of verbal exchange.
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Additional info for Ambient Intelligence Impact on Embedded System Design
Integration of multi-mode/standards communication interfaces require low power mixed-signal and RF design tools. On system level a trade-off has to be made between the increased amount of compression of the A/V/data stream with related power dissipation and the reduced data rate of the communication link. Natural Interfaces in the Watt Node Figure 9 shows the Watt node for natural interfaces. The natural interfaces requires the extraction and of information from various information streams (audio and video signals) and setting up an intelligent dialogue with the user.
Moreover‚ these experience prototyping centers should also be equipped with an observation infrastructure that can capture and analyze the behavior of people that interact with the experience prototypes. As an example we mention Philips’ HomeLab‚ which is a combined feasibility and usability laboratory that is aimed at investigating through extensive empirical research‚ which embedded interaction technologies are really perceived by people as life enhancing experiences . HomeLab is an advanced research center in which engineers build prototypes of embedded distributed systems that implement novel interaction concepts developed by industrial designers‚ and which are subsequently evaluated by cognitive psychologist through extensive user tests.
Fewer components translate into reduced billof-materials required for a multi-mode implementation of the device‚ and cost is reduced as a consequence. The previous analysis identifies the essential requirements of a wireless base station suitable for a pervasive computing paradigm: Ambient Intelligence: A Computational Platform Perspective 39 Low-energy consumption‚ in the order of the hundreds of mW; High-bandwidth‚ in the range offered by WLAN technologies (in the order of tens of Mbps); Security features to protect the transmitted data.
Ambient Intelligence Impact on Embedded System Design by Twan Basten, Marc Geilen, Harmke de Groot