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Augmented Reality-Centered Position Navigation for Wearable Devices with Machine Learning Techniques.

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  • 1Department of Information Technology, Kongu Engineering College, Perundurai, Erode, Tamil Nadu, India.

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This summary is machine-generated.

Current indoor navigation systems lack precision. This study explores augmented reality (AR) and ARCore as a solution for more accurate indoor wayfinding using smartphones.

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Area of Science:

  • Computer Science
  • Human-Computer Interaction
  • Robotics

Background:

  • Traditional navigation tools have evolved from maps to GPS-enabled smartphones.
  • While outdoor navigation is precise, indoor navigation systems struggle with accuracy.
  • Existing indoor navigation technologies include Bluetooth, Wi-Fi, RFID, and computer vision.

Purpose of the Study:

  • To identify the limitations of current indoor navigation solutions.
  • To propose an alternative indoor navigation approach utilizing augmented reality (AR) and ARCore.
  • To enhance the precision and user experience of indoor wayfinding.

Main Methods:

  • Review of existing indoor navigation technologies and their shortcomings.
  • Development of a novel indoor navigation system leveraging augmented reality (AR).
  • Integration of ARCore to enable AR experiences on smartphones and tablets for navigation.

Main Results:

  • Identified significant precision issues with current indoor navigation methods.
  • Demonstrated the potential of ARCore to improve indoor navigation accuracy.
  • Showcased how AR can provide a more intuitive and precise indoor wayfinding experience.

Conclusions:

  • Augmented reality (AR) and ARCore offer a promising alternative to current indoor navigation systems.
  • Smartphone-based AR navigation can overcome the precision limitations of existing technologies.
  • Further development in AR technology can revolutionize indoor navigation.