Hybrid Indoor Positioning Dataset from WiFi RSSI, Bluetooth and magnetometer
Donated on 12/17/2016
The dataset was created for the comparison and evaluation of hybrid indoor positioning methods. The dataset presented contains data from W-LAN and Bluetooth interfaces, and Magnetometer.
Dataset Characteristics
Multivariate, Sequential, Time-Series
Subject Area
Computer Science
Associated Tasks
Classification
Feature Type
Real
# Instances
1540
# Features
-
Dataset Information
Additional Information
The measurements were created to ease the development, comparison and evaluation of fingerprinting based hybrid indoor positioning methods. The measurements were recorded by the same kind of Android devices in order to reduce the effect of the variety of the hardware. The recording was preformed at weekend to reduce the noise of the environment. The measurements were performed in a three-story building and cover about 50% of it.
Has Missing Values?
Yes
Variables Table
| Variable Name | Role | Type | Description | Units | Missing Values |
|---|---|---|---|---|---|
| no | |||||
| no | |||||
| no | |||||
| no | |||||
| no | |||||
| no | |||||
| no | |||||
| no | |||||
| no | |||||
| no |
0 to 10 of 65
Additional Variable Information
#Measurement Info 1) Measurement Id - Java UUID 2) Timestamp - YYYY-MM-dd hh:mm:ss #Position Info 3-5) Coordinates of the absolute position (x,y,z) 6-7) Symbolic position - UUID and name of the position #Measruement Values 8-10) Magnetometer values x,y,z, real 11-42) WiFi RSSI values, negative integeres [-255,0] 43-65) Bluetooth devices {0,1} - 1 if the given devices was sensed in during the measurement.
Reviews
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pip install ucimlrepo
from ucimlrepo import fetch_ucirepo # fetch dataset hybrid_indoor_positioning_dataset_from_wifi_rssi_bluetooth_and_magnetometer = fetch_ucirepo(id=402) # data (as pandas dataframes) X = hybrid_indoor_positioning_dataset_from_wifi_rssi_bluetooth_and_magnetometer.data.features y = hybrid_indoor_positioning_dataset_from_wifi_rssi_bluetooth_and_magnetometer.data.targets # metadata print(hybrid_indoor_positioning_dataset_from_wifi_rssi_bluetooth_and_magnetometer.metadata) # variable information print(hybrid_indoor_positioning_dataset_from_wifi_rssi_bluetooth_and_magnetometer.variables)
Tams,Judit and Tth,Zsolt. (2016). Hybrid Indoor Positioning Dataset from WiFi RSSI, Bluetooth and magnetometer. UCI Machine Learning Repository. https://doi.org/10.24432/C55K6K.
@misc{misc_hybrid_indoor_positioning_dataset_from_wifi_rssi,_bluetooth_and_magnetometer_402,
author = {Tams,Judit and Tth,Zsolt},
title = {{Hybrid Indoor Positioning Dataset from WiFi RSSI, Bluetooth and magnetometer}},
year = {2016},
howpublished = {UCI Machine Learning Repository},
note = {{DOI}: https://doi.org/10.24432/C55K6K}
}Creators
Judit Tams
Zsolt Tth
DOI
License
This dataset is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.
This allows for the sharing and adaptation of the datasets for any purpose, provided that the appropriate credit is given.