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Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
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Open Ambient Intelligence Environments.

Laura Burzagli1, Pier Luigi Emiliani1

  • 1Institute of Applied Physics "Nello Carrara", National Research Council of Italy.

Studies in Health Technology and Informatics
|August 22, 2015
PubMed
Summary

Ambient intelligence enhances eInclusion by supporting independent living for individuals with activity limitations. This review outlines how to design and implement intelligent environments for greater accessibility.

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Area of Science:

  • Computer Science
  • Human-Computer Interaction
  • Assistive Technology

Background:

  • Review of ambient intelligence (AmI) concepts in the context of eInclusion.
  • Examination of current challenges and opportunities for technology to support independent living.

Purpose of the Study:

  • To explore the impact of ambient intelligence on eInclusion.
  • To provide guidelines for specifying, designing, and utilizing AmI environments for people with activity limitations.

Main Methods:

  • Literature review of ambient intelligence and eInclusion.
  • Analysis of existing AmI applications and their effectiveness.
  • Development of conceptual frameworks and practical examples.

Main Results:

  • Ambient intelligence offers significant potential to improve eInclusion.
  • Specific design considerations are crucial for creating effective AmI environments.
  • User-centered approaches are key to successful implementation.

Conclusions:

  • Ambient intelligence can foster greater independence for individuals with activity limitations.
  • Further research and development are needed to optimize AmI for diverse user needs.
  • Collaborative design involving users and technologists is recommended.