Abstract:In this paper, we develop a face recognition system based on softcomputing techniques, which complies with privacy-by-design rules and defines a set of principles that are context-aware applications (including biometric sensors) and should contain to conform to European and US law. This paper deals with the necessity to consider legal issues concerning privacy or human rights in the development of biometric identification in ambient intelligence systems. Clearly, context-based services and ambient intelligence (and the most promising research area in Europe, namely ambient assisted living, ALL) call for a major research effort on new identification procedures.
In this paper, we present a complete overview of Ambient Intelligence (AmI) focused in its applications, considering the involved domain and technologies. The applications include AmI at home, care of elderly and people with disabilities, healthcare, education, business, public services, leisure and entertainment. The aim of this survey of AmI's applications is to show its socials and ethical implications and specially privacy issues. Intelligent Environments (IE) collect and process a massive amount of person-related and sensitive data. These data must ensure privacy of the users. An important concern in AmI´s applications is privacy. Addressing design by privacy, an important challenge to consider is the development of an architecture that includes the different privacy policies and how can we fusion them in a specific application domain. Ensuring privacy in Intelligent Environments is a difficult problem to solve, as there are different perceptions of privacy and its role in computing for each user. In the so called 'design by privacy' we have to identify the relevant design issues that should be addressed for its developing. Here we present an approach to the dimensions to consider, in order to provide privacy in the design of Ambient Intelligence's applications.
In this work, authors define a set of principles that should be contained in context-aware applications (including biometric sensors) to accomplish the legal aspect in Europe and USA. Paper presents the necessity to consider legal aspect, related with pri-vacy or human rights, into the development of the incipient context based services. Clearly, context based services and Ambient Intelligence (and the most promising work area in Europe that is Ambient Assisted Living, ALL) needs a great effort in research new identification procedures.
Intelligent Environments (IE) collect and process a massive amount of personrelated and sensitive information. The aim of this work is to show the awareness of privacy issues in AmI and to identify the relevant design issues that should be addressed in order to provide privacy in the design of Ambient Intelligence's applications focused in the user´s domain and involved technologies. We propose a conceptual framework in order to enforce privacy that takes care of interaction between technologies and devices, users and application´s domain with different modules that contain different steps relating to the privacy policies.
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