Ambient Intelligence and Smart Environments: A State of the Art

Augusto, Juan Carlos; Nakashima, Hideharu; Aghajan, Hamid

doi:10.1007/978-0-387-93808-0_1

Cited by 121 publications

(57 citation statements)

References 16 publications

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“…If individual's privacy can be guaranteed through the use of this technology, public acceptance would be increased giving the opportunity of installing these cameras in private environments to replace simpler binary sensors or, most importantly, to develop new telecare services (Olivieri et al, 2012;Chen et al, 2012;Morris et al, 2013). This breakthrough could open the door to novel privacy-aware applications for ambient intelligence (AmI) (Augusto et al, 2010), and more specifically in AAL systems for ageing in place (O'Brien & Mac Ruairi, 2009), being beneficial to improve the quality of life and to maintain the independence of people in need of long-term care.…”

Section: Introductionmentioning

confidence: 99%

Visual privacy protection methods: A survey

Padilla-López

Chaaraoui

Flórez-Revuelta

2015

Expert Systems with Applications

170

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Recent advances in computer vision technologies have made possible the development of intelligent monitoring systems for video surveillance and ambientassisted living. By using this technology, these systems are able to automatically interpret visual data from the environment and perform tasks that would have been unthinkable years ago. These achievements represent a radical improvement but they also suppose a new threat to individual's privacy. The new capabilities of such systems give them the ability to collect and index a huge amount of private information about each individual. Next-generation systems have to solve this issue in order to obtain the users' acceptance. Therefore, there is a need for mechanisms or tools to protect and preserve people's privacy. This paper seeks to clarify how privacy can be protected in imagery data, so as a main contribution a comprehensive classification of the protection methods for visual privacy as well as an up-to-date review of them are provided. A survey of the existing privacy-aware intelligent monitoring systems and a valuable discussion of important aspects of visual privacy are also provided.

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Section: Introductionmentioning

confidence: 99%

Visual privacy protection methods: A survey

Padilla-López

Chaaraoui

Flórez-Revuelta

2015

Expert Systems with Applications

170

View full text Add to dashboard Cite

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“…Accordingly, it is easy to understand that everything related to IE and AmI systems is really a multidisciplinary field [2], where researchers and practitioners of diverse disciplines, such as Ubiquitous/Pervasive Computing, Software Engineering, Artificial Intelligence, Human-Computer Interaction, Robotics, etc., will have to collaborate to design and implement systems that provide adequate solutions to important problems and challenges that developed societies have to face in relation to the aging of their population. Among them are those related to: assistance to vulnerable people, healthcare, quality of life, social inclusion, lifelong learning, and intelligent and adapted transport, to mention just a few.…”

Section: Application Of Software Engineering Techniques To Improve Thmentioning

confidence: 99%

Application of Software Engineering techniques to improve the reliability of Intelligent Environments

Hornos

2017

J Reliable Intell Environ

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“…Passive positioning for smart environments, that could enable the tracking of people unobtrusively without any conscious human interaction and without compromising the user privacy with video based solutions, has remained as a challenging problem for decades [2]. Indeed, many of the current technologies are not welcome in a domestic environment where people should be able to live in comfort, feel safe and relax.…”

Section: Introductionmentioning

confidence: 99%

“…First, the developed methods could be used in smart homes to control the environment proactively and autonomously. By turning off unneeded devices or appliances, and by adjusting the heating to an comfortable level based on the user position and sensed context, the energy expenditure of homes can be pushed down [2,21,29]. Second, in the health care sector user mental and physical activities could be remotely monitored by observing the user interactions with the home to support either the rehabilitation progress after an injury or the nurturing of the elderly [6,20,23,39].…”

Section: Introductionmentioning

confidence: 99%