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Research Group on Machine Learning for Smart Environments |
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UJIIndoorLocDatabase. The UJIIndoorLoc is a multi-building and multi-floor database for indoor localization related problems based on Wireless-LAN fingerprinting technology. This database contains 19936 samples for calibration and 1111 samples for validation/testing which were taken in three different facilities of the Universitat Jaume I by more than 20 users.
UJIIndoorLoc-mag Database. Magnetic field-based methods are becoming an important trend in this research field. The UJIIndoorLoc-Mag database can be used to compare magnetic field-based indoor localization methods. It consists of 270 continuous samples for training and 11 for testing. Each sample comprises a set of discrete captures taken along a corridor (or an intersection) with a period of 0.1 seconds. In total, there are almost 40.000 discrete captures, where each one contains features obtained from the magnetometer, the accelerometer and the orientation sensor of the device.
ipft: Indoor Positioning Fingerprinting Toolset. R package. Algorithms and utility functions for indoor positioning using fingerprinting techniques. These functions are designed for manipulation of RSSI (Received Signal Strength Intensity) data sets, estimation of positions,comparison of the performance of different models, and graphical visualization of data. Machine learning algorithms and methods such as k-nearest neighbors or probabilistic fingerprinting are implemented in this package to perform analysis and estimations over RSSI data sets.