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BLE RSSI dataset for Indoor localization Data Set
Download: Data Folder, Data Set Description

Abstract: This dataset contains RSSIs obtained on smartphones(Sony Xperia XA1). Signals were transmitted from BLE product called iTAG. Location column denotes the position of iTAG in building's entry.

Data Set Characteristics:  

Sequential, Time-Series

Number of Instances:

23570

Area:

Computer

Attribute Characteristics:

Integer

Number of Attributes:

5

Date Donated

2019-05-29

Associated Tasks:

Classification

Missing Values?

N/A

Number of Web Hits:

5118


Source:

Aigerim Mussina, mussina.aigerim95 '@' gmail.com, Department of Computer Science, al-Farabi Kazakh National University
Sanzhar Aubakirov, aubakirov.sanzhar '@' gmail.com, Department of Artificial Intelligence and Big Data, al-Farabi Kazakh National University


Data Set Information:

The dataset was collected with help of students. Twelve students were divided to three groups and each student had iTAG device. They walked inside their limited area with activated iTAG. In long corridor, 18.35m x 3m, we denoted 3 areas which illustrate building's entry: inside, in vestibule and outside. Two smartphones, Sony Xperia XA1, received signals. They located at the start and end of 'in vestibule' area, which has length of 2.35m. Collection of RSSIs lasted for 20 minutes.
There are two datasets: filtered_rssi and raw_rssi. We used feedback filter to smooth RSSI. Raw RSSIs are actual RSSIs that smartphone got.


Attribute Information:

name - MAC address of iTAG
locationStatus - one of three possible iTAG location: INSIDE, IN_VESTIBULE, OUTSIDE
timestamp - timestamp in milliseconds
rssiOne - RSSI on first smartphone
rssiTwo - RSSI on second smartphone


Relevant Papers:

N/A



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Please refer to the Machine Learning Repository's citation policy


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