Indoor Trajectory Comparison Framework For Android Smartphones.pdf

ipin11-st-demo.pdf
Preview of Indoor Trajectory Comparison Framework for Android Smartphones
🔗 Source: cs.ucy.ac.cy
📊 Size: 409 KB
👤 Author: Christos Laoudias
⬇️ Downloads: 32

Summary

It addresses the need for efficient and privacy-preserving trajectory similarity services in enclosed spaces, where GPS signals are often unreliable.

Key Features:

Distributed Framework: Trajectories reside entirely on individual smartphones, eliminating the need for centralized data storage and reducing costs and privacy concerns.
In-situ Data Storage: SmartTrace leverages existing smartphone location capabilities, storing raw trajectory data locally.
Efficient Similarity Search: It employs a smart algorithm that efficiently calculates similarity between trajectories using distributed measures, even in the presence of spatial and temporal noise.
Indoor Trajectory Comparison: The system successfully demonstrates its effectiveness in indoor environments using RSS (Received Signal Strength) readings from WLAN access points to compute trajectory similarity.

Android Implementation:

A prototype Android application has been developed, allowing users to configure query parameters, visualize results (for GPS data), and switch between online and offline mode for replayability.
The server-side component runs on a netbook with Ubuntu Linux.

Demonstration:

The authors will showcase SmartTrace at the 2011 IPIN conference using five HTC Desire smartphones running Android 2.1, simulating various interactive scenarios to demonstrate its performance and usability.

Description

The 2011 IPIN conference presented a novel distributed framework for comparing indoor trajectories on Android smartphones, enabling efficient similarity searches without storing entire trajectories remotely. The SmartTrace algorithm leverages distributed similarity measures for quick and cost-effective spatiotemporal query processing. This approach ensures trajectories remain local, enhancing privacy and performance.

Technical Information

  • File Format: PDF
  • File Size: 409 KB
  • Pages: 2
  • Language: EN
  • Author: Christos Laoudias
  • Total Downloads: 32
  • Last Updated: 1 month ago

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