Wi-Fi fingerprinting through active learning using smartphones

@article{Nguyen2013WiFiFT,
  title={Wi-Fi fingerprinting through active learning using smartphones},
  author={Le T. Nguyen and Joy Ying Zhang},
  journal={Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication},
  year={2013}
}
  • Le T. Nguyen, J. Zhang
  • Published 2013
  • Computer Science
  • Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication
Indoor positioning is one of the key components enabling retail-related services such as location-based product recommendations or in-store navigation. In the recent years, active research has shown that indoor positioning systems based on Wi-Fi fingerprints can achieve a high positioning accuracy. However, the main barrier of broad adoption is the labor-intensive process of collecting labeled fingerprints. In this work, we propose an approach for reducing the amount of labeled data instances… Expand
WiFACT -- Wireless Fingerprinting Automated Continuous Training
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Session: PeTRE: Workshop on Pervasive Technologies in Retail Environment UbiComp'13
  • Session: PeTRE: Workshop on Pervasive Technologies in Retail Environment UbiComp'13
  • 2013