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Using a Real-Time Locating System to Measure Walking Activity Associated with Wandering Behaviors Among Institutionalized Older Adults
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Comparing the Performance of Indoor Localization Systems through the EvAAL Framework.

Francesco Potortì1, Sangjoon Park2, Antonio Ramón Jiménez Ruiz3

  • 1ISTI Institute of CNR, Pisa 56124, Italy. Potorti@isti.cnr.it.

Sensors (Basel, Switzerland)
|October 14, 2017
PubMed
Summary
This summary is machine-generated.

The EvAAL benchmarking framework provides a standardized method for comparing indoor localization systems. It was successfully validated in the 2016 IPIN Competition, demonstrating its flexibility and adequacy for diverse indoor positioning scenarios.

Keywords:
Active and Assisted Livingbenchmarkingindoor competitionindoor localizationindoor navigationpedestrian dead deckoningperformance evaluationsmartphone sensorsstandard evaluation metrics

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Area of Science:

  • Computer Science
  • Robotics
  • Ubiquitous Computing

Background:

  • Indoor localization systems are crucial for applications like navigation, IoT, and security, but lack standardized performance metrics.
  • The diversity of applications and requirements hinders the development of universal indoor positioning solutions.

Purpose of the Study:

  • To introduce the EvAAL benchmarking framework for fair comparison of indoor positioning systems.
  • To validate the EvAAL framework's capabilities using the 2016 Indoor Positioning and Indoor Navigation (IPIN) Competition.

Main Methods:

  • The EvAAL framework was developed to facilitate standardized performance evaluation of indoor localization technologies.
  • The 2016 IPIN Competition utilized the EvAAL framework across four tracks, covering pedestrian/robotic navigation, smartphone/custom hardware, and real-time/off-line processing.

Main Results:

  • The EvAAL framework successfully accommodated diverse competition tracks, demonstrating its flexibility.
  • The framework proved adequate for comparing various indoor positioning systems under realistic conditions.

Conclusions:

  • The EvAAL framework shows potential as a standard for evaluating indoor localization solutions.
  • Feedback from the 2016 IPIN Competition confirmed the framework's adaptability and effectiveness.