Innovations and practical applications of intelligent systems in ambient intelligence and humanized computing
Innovations and practical applications of intelligent systems in ambient intelligence and humanized computing
David Camacho 0 1
Paulo Novais 0 1
0 Departamento de Informática/Centro ALGORITMI, Escola de Engenharia, Universidade do Minho, Campus de Gualtar , 4710-057 Braga , Portugal
1 Computer Science Department, Universidad Autónoma de Madrid , Avda. Tomas y Valiente, n11, 28049 Madrid , Spain
Paulo Novais
1 Introduction
Ambient intelligence (AmI) goal is increasing the quality
of life and security of the users by introducing the
technology into everyday environment, relieving the users’ burden
in performing normal activities. Therefore, the AmI can be
seen as the provision of services in the environment, with
a very particular nuance: that these services must be
personalized, i.e., tailored to the user’s preferences and needs.
We consistently find that the behaviour of people can
effectively be used as an interaction medium with technology,
i.e., it is possible to develop AmI systems that are
responsive to people’s behaviours (Aztiria et al. 2010), to model
their behaviours (Rodríguez-Fernández et al. 2016, 2017)
or even to predict their future necessities.
Intelligent Systems, along with the AmI, aims to include
technology that is more smart, intelligent and also reliable
in the environments, allowing better support for humans
when interacting with these environments. Current trends
on other areas as Big Data analysis (Iqbal et al. 2016),
specially focused on Social analysis (Bello-Orgaz et al.
2016) and Information Fusion, are opening new interesting
areas of work, from communities detection (Bello-Orgaz
et al. 2017; González-Pardo et al. 2017), new algorithms,
systems and frameworks implementations
(CampilloSanchez et al. 2015), or ambient-assisted living tools
(Rashidi and Mihailidis 2013) amongst others. These, and
other related areas, will provide new challenges to AmI and
Intelligent Systems in the near future.
This special issue on Innovations and Practical
applications of Intelligent Systems in Ambient Intelligence and
Humanized Computing is devoted to create a
multi-disciplinary discussion forum that bring together
researchers from the different fields addressed discussing issues in
Intelligent Systems topics involved in the Ambient
Intelligence environments. A special emphasis is done to the
presentation of concrete systems, discussion of
implementation and development challenges and sharing of
conclusions achieved and relevant results. From previous state of
the art, some contributions have been selected in order to
take a step forward over different problems and challenges
related to AmI.
1.1 Contributions of this issue
The paper entitled “Ubiquitous driving and community
knowledge” (Silva and Analide 2016) authored by Silva
and Analide presented the PHESS Driving platform
enables unobtrusive sensorization of driving actions while
acquiring data used to the analysis of driving behavior.
In the paper “Direct trust assignment using social
reputation and aging” (Buzzanca et al. 2016) authored Marco
Buzzanca et al. the exploitation of trust in virtual
environments, on-line services, intelligent pervasive environments
and many other scenarios still deserve researchers’ interest.
In this work the authors investigate, particularly, on how to
assess the local (direct) trust a node receives from each of
his neighbors.
The paper entitled “Towards improving feature
extraction and classification for activity recognition on
streaming data” (Yala et al. 2016) authored by Nawel Yala et al.
propose and evaluate an extension of a sensor window
approach to perform activity recognition in an online/
streaming setting; recognizing activities when a new sensor
event is recorded.
The paper entitled “Context acquisition in auditory
emotional recognition studies” (Carneiro et al. 2016) authored
by Davide Carneiro et al. describes an environment to
access auditory emotional recognition based on a mobile
application.
The paper entitled “Agent architecture for crowd
simulation in indoor environments” (Pax and Pavón 2016)
authored by Rafael Pax and Juan Pavón, purpose an agent
based simulation tools for quick prototyping in order to
validate social models.
The paper entitled “MAS-based self-adaptive
architecture for controlling and monitoring cloud platforms”
(Prieta et al. 2017) authored by Prieta et al. presents an
architecture to model the control and monitoring system of a
Cloud Computing platform by using a Virtual Organization
of intelligent agents that self-adapt and reorganize
according to the needs of the surrounding environment.
Finally, the paper entitled “Smart environment
architecture for robust people detection by infrared and visible
video fusion” (Castillo et al. 2016) authored by José Carlos
Castillo et al. this paper proposes an architecture for people
detection which is focused on robustly detection by infrared
and visible video fusion in smart environment.
Acknowledgemen (...truncated)