IoT Indoor Localization with AI Technique
2020 IEEE International Workshop on Metrology for Industry 4.0 and IoT, MetroInd 4.0 and IoT 2020 - Proceedings, Page: 654-658
2020
- 17Citations
- 33Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Conference Paper Description
In this paper, an innovative method for indoor localization based on Bluetooth Low Energy (BLE4) technology has been developed. By employing a mobile beacon, a wearable device and stationary anchors, the conceived tracking system is able to predict people position within buildings. Adopting the received signal strength indicator and a machine learning approach, good accuracy is reached without limiting the freedom and privacy of users.
Bibliographic Details
Institute of Electrical and Electronics Engineers (IEEE)
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