June 2019
Intermediate to advanced
308 pages
7h 21m
English
Content preview from Hands-On Deep Learning for IoT
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Describing the dataset
The UJIIndoorLoc dataset is a multi-building, multi-floor indoor localization database designed to test an indoor positioning system relying on Wi-Fi fingerprinting. Automatic user localization consists of estimating the position of the user, such as the latitude, longitude, and altitude, collected from a mobile phone. The UJIIndoorLoc database covers three buildings of Universitat Jaume I with 4 or more floors and almost 110,000 square meters, measured in 2013 by means of more than 20 different users and 25 Android devices. The database consists of two CSV files:
- trainingData.csv: 19,937 training/reference records
- validationData.csv: 1,111 validation/test records
The 529 attributes contain Wi-Fi fingerprints and ...
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