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Related Experiment Video

Updated: Jul 10, 2026

An Application for Pairing with Wearable Devices to Monitor Personal Health Status
06:58

An Application for Pairing with Wearable Devices to Monitor Personal Health Status

Published on: February 3, 2022

Health care applications based on mobile phone centric smart sensor network.

J M Quero1, C L Tarrida, J J Santana

  • 1Dpto. de Ingeniería Electrónica, Universidad de Sevilla, Seville, Spain. quero@us.es

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
|November 16, 2007
PubMed
Summary

The MIMOSA project introduces a mobile-device focused architecture for Ambient Intelligence applications. Microsystem technology enables low-cost, low-power, and small devices, demonstrated in healthcare.

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Last Updated: Jul 10, 2026

An Application for Pairing with Wearable Devices to Monitor Personal Health Status
06:58

An Application for Pairing with Wearable Devices to Monitor Personal Health Status

Published on: February 3, 2022

Area of Science:

  • Computer Science
  • Engineering
  • Ubiquitous Computing

Background:

  • Ambient Intelligence (AmI) applications require integrated sensing and computing capabilities.
  • Current platforms often lack the integration of microsystem technology for personalized, mobile-centric solutions.
  • The MIMOSA project addresses these limitations through a European collaborative initiative.

Purpose of the Study:

  • To present the MIMOSA architecture and development platform for creating Ambient Intelligence applications.
  • To highlight the role of microsystem technology as a key enabler for AmI.
  • To demonstrate the application of the MIMOSA platform in the healthcare domain.

Main Methods:

  • Development of a personal mobile-device centric architecture.
  • Utilization of microsystem technology for low-cost, low-power, and miniaturized components.
  • Focus on demonstration activities within the healthcare sector.

Main Results:

  • Establishment of the MIMOSA architecture and open technology platform.
  • Successful integration of microsystem technology for AmI realization.
  • Demonstration of healthcare applications leveraging the MIMOSA platform.

Conclusions:

  • The MIMOSA architecture and platform effectively support the development of Ambient Intelligence applications.
  • Microsystem technology is crucial for the advancement of personalized and mobile-centric AmI.
  • The project's healthcare demonstrations validate the practical utility of the MIMOSA approach.