Download PDF by Amr Mohamed, Paulo Novais, António Pereira, Gabriel: Ambient Intelligence - Software and Applications: 6th

By Amr Mohamed, Paulo Novais, António Pereira, Gabriel Villarrubia González, Antonio Fernández-Caballero

ISBN-10: 3319196944

ISBN-13: 9783319196947

ISBN-10: 3319196952

ISBN-13: 9783319196954

This quantity comprises the lawsuits of the 6th overseas Symposium on Ambient Intelligence (ISAmI 2015), held in Salamanca, Spain on June 3th-5th on the college of Salamanca. After a cautious evaluate, 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 working every year and aiming to assemble researchers from a number of disciplines that represent the clinical box of Ambient Intelligence to give and speak about the most recent effects, new principles, tasks and classes realized, particularly when it comes to software program and purposes and goals to collect researchers from numerous disciplines which are drawn to all points of this area.

Ambient Intelligence is a contemporary paradigm rising from synthetic Intelligence, the place desktops are used as proactive instruments aiding individuals with their day by day actions, making everyone’s lifestyles more well-off. one other major quandary of AmI originates from the human desktop interplay area and makes a speciality of delivering how one can engage with structures in a extra ordinary manner via ability person pleasant interfaces. This box is evolving speedy as might be witnessed by means of the rising common language and gesture dependent sorts of interaction.

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Extra resources for Ambient Intelligence - Software and Applications: 6th International Symposium on Ambient Intelligence (ISAmI 2015)

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Behav. 8(2), 97–120 (2005) 8. Y. Zhang, Y. Owechko, J. Zhang, Learning-based driver workload estimation, in Computational Intelligence in Automotive Applications, vol. 132, ed. by D. Prokhorov (Springer, Berlin, 2008), pp. 1–24 9. E. Adell, A. Varhelyi, M. Fontana, The effects of a driver assistance system for safe speed and safe distance: a real-life field study. Transp. Res. C, Emerg. Technol. 19(1), 145–155 (2011) 10. A. W Cooper, B Golany, L Seiford, J Stutz, Foundations of data envelopment analysis for Pareto-Koopmans efficient empirical production functions.

3. Simulation results are presented in Sect. 4 before we conclude in Sect. 5. 2 Related Work A heavy computation requirement will cause that “the rate of incoming sensor data is higher than the update rate of the PF and so some sensor data will be missed” [5]. Most solutions to improve the speed of the PF are focused on adjusting the number of particles to reduce the number of iterations required. There are various same size adaptation mechanisms, see the survey [6]. One of the most elegant methods for adjusting the number of particles is KLD-sampling approach [7, 8] and KLDresampling [9].

Other studies [9] propose to use the movement of the steering wheel as an indicator of driver workload. In conclusion, there are a limited number of works where the workload is analyzed in a real environment driving. Furthermore, there are not applications. The main contribution of this paper is the proposal of an assistant that employs this information about the driver stress and his driving style to build a shared database which contains the places where driving is difficult (high workload and fuel consumption).

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Ambient Intelligence - Software and Applications: 6th International Symposium on Ambient Intelligence (ISAmI 2015) by Amr Mohamed, Paulo Novais, António Pereira, Gabriel Villarrubia González, Antonio Fernández-Caballero


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