By Amr Mohamed, Paulo Novais, António Pereira, Gabriel Villarrubia González, Antonio Fernández-Caballero
This quantity includes the complaints of the 6th foreign Symposium on Ambient Intelligence (ISAmI 2015), held in Salamanca, Spain on June 3th-5th on the college of Salamanca. After a cautious assessment, 27 papers from 10 diversified international locations have been chosen to be provided in ISAmI 2015 on the convention and released within the proceedings.
ISAmI has been operating every year and aiming to collect researchers from quite a few disciplines that represent the medical box of Ambient Intelligence to provide and talk about the newest effects, new rules, initiatives and classes realized, particularly by way of software program and purposes and goals to assemble researchers from quite a few disciplines which are attracted to all elements of this area.
Ambient Intelligence is a up to date paradigm rising from man made Intelligence, the place desktops are used as proactive instruments aiding individuals with their daily actions, making everyone’s existence more well-off. one other major challenge of AmI originates from the human laptop interplay area and specializes in supplying how one can engage with structures in a extra traditional method through capacity consumer pleasant interfaces. This box is evolving speedy as may be witnessed by way of the rising typical language and gesture established different types of interaction.
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Extra resources for Ambient Intelligence - Software and Applications: 6th International Symposium on Ambient Intelligence (ISAmI 2015)
How we achieve predictive validity has been already described above. 4 Discussion and Future Work In this paper, we described the development of the Bayesian network for automatic detection of a person being at risk of a medical condition on the example of hyperglycemia in a diabetic patient. The purpose of the work presented here is to develop a general method for designing and validating risk detection networks. Deployment of more and different sensors might improve risk detection The network is based on one expert’s opinion only and it would therefore be interesting to investigate if a similar network that is based on the elicitation of several experts will show improved results.
This method takes into account the particular characteristics of each user. The shared database is used to provide information in advance about the road environment so that driver can adopt appropriate measures. The results show a signiﬁcant improvement in fuel consumption and a reduction in the driver stress. C. M. Organero the driver workload. However, they do not propose any methods to reduce it and tests are conducted in simulators. The main contribution of this work is an application to improve safety and fuel consumption using the information of the level of driver stress and his driving.
No provisioning control (left), with provisioning control (right) Policy-Based Adaptation of Context Provisioning in AmI 41 Fig. 4 CONSERT engine update performance showing insertion delay (red) and insertion processing (blue) times. No control rules (left), with provisioning control (right) Figure 4 shows measurements of CONSERT Engine insertion delay (time until processing starts) and processing duration for ContextAssertion updates. While the average delay and processing times for the two simulation conﬁgurations are very similar, on the right hand graph we observe slightly higher insertion processing times (blue) and a greater density of insertion delay points (red) that are higher than the average.