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. 2019 Jan 19;22:1044–1051. doi: 10.1016/j.dib.2019.01.040
Subject area Computer Science
More specific subject area Internet of Things (IoT)
Type of data Each calibration (and the test file) is an individual CSV file consisting of the fields found inTable 1.
How data was acquired EurValve Smart Home in a Box deployed in a typical residential house.
Data format Raw data format as recorded by the EurValve system. Data columns are then filtered to remove unrequired field such as wearable battery level, and add the ground truth labels.
Further, data records where the participant was not in one of four rooms with a gateway were removed.
Experimental factors While all calibrations were carried out within the same residential house, not all calibrations were carried out within the same period of time. For example, some calibrations may have been carried out within the same afternoon, while others on a different day.
Experimental features 10 different individuals carried out the calibration procedure within a residential house.
4 of the individuals carried it out 2 times in total.
1 of the individuals carried it out 3 times in total.
1 of the individuals then carried out free living activities within the house.
Data source location A typical residential house in Bristol, UK (SPHERE house).
Data accessibility Data is with this article and available online at https://github.com/rymc/a-dataset-for-indoor-localization-using-a-smart-home-in-a-box
Related research article R. McConville, D. Byrne, I. J. Craddock, R. Piechocki, J. Pope, and R. Santos-Rodriguez, ‘Understanding the Quality of Calibrations for Indoor Localisation’ in IEEE 4th World Forum on Internet of Things (WF-IoT 2018), Feb. 2018.
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