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Related Experiment Video

Updated: May 16, 2026

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
11:21

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data

Published on: July 27, 2018

Enabling smart workflows over heterogeneous ID-sensing technologies.

Pau Giner1, Carlos Cetina, Raquel Lacuesta

  • 1Pervasive Computing Group, San Jorge University, Villanueva de Gllego, Zaragoza 50830, Spain. pau.giner@gmail.com

Sensors (Basel, Switzerland)
|December 4, 2012
PubMed
Summary
This summary is machine-generated.

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Mobile sensing technologies bridge the physical and digital worlds. Parkour is a new architecture enabling smart workflows by matching services to user goals, supported by plug-in tools.

Area of Science:

  • Computer Science
  • Human-Computer Interaction
  • Ubiquitous Computing

Background:

  • Mobile sensing technologies are crucial for integrating physical and digital environments.
  • Automatic identification of surrounding objects enhances user participation in smart workflows.
  • Current systems lack meaningful service translation from object identification.

Purpose of the Study:

  • Introduce Parkour, an architecture for developing goal-oriented services in smart workflows.
  • Provide a pluggable architecture extensible for new tasks and technologies.
  • Facilitate service development through automated plug-in tools.

Main Methods:

  • Developed Parkour, a flexible and extensible architecture.
  • Created tools to automate the development of plug-ins for Parkour.

Related Experiment Videos

Last Updated: May 16, 2026

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
11:21

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data

Published on: July 27, 2018

  • Implemented and validated several Parkour-based systems.

    • Main Results:

    • Parkour architecture successfully enables the development of context-aware services.
    • Automated tools streamline the creation of new functionalities and integrations.
    • Validated applicability through diverse real-world system implementations.

    Conclusions:

    • Parkour architecture effectively bridges the gap between object identification and meaningful user services.
    • The pluggable design promotes adaptability and future-proofing of smart workflow systems.
    • Automated development tools enhance the practical adoption and scalability of Parkour-based solutions.