Tracking objects within a smart home

作者：

Highlights：

• A free dataset of more than 25,000 tagged RFID readings.

• A review of classic classifiers or indoor tracking with passive RFID.

• Filters to stabilise RFID readings and reduce the impact of outliers.

• A novel tracking method using passive RFID and random forests to track objects.

摘要

•A free dataset of more than 25,000 tagged RFID readings.•A review of classic classifiers or indoor tracking with passive RFID.•Filters to stabilise RFID readings and reduce the impact of outliers.•A novel tracking method using passive RFID and random forests to track objects.

论文关键词：RFID,Smart home,Data mining,Decision trees,Indoor tracking system

论文评审过程：Received 11 August 2017, Revised 14 June 2018, Accepted 2 July 2018, Available online 3 July 2018, Version of Record 20 July 2018.

论文官网地址：https://doi.org/10.1016/j.eswa.2018.07.009