Center for Machine Learning and Intelligent Systems
About  Citation Policy  Donate a Data Set  Contact

Repository Web            Google
View ALL Data Sets

× Check out the beta version of the new UCI Machine Learning Repository we are currently testing! Contact us if you have any issues, questions, or concerns. Click here to try out the new site.

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:




Attribute Characteristics:


Number of Attributes:


Date Donated


Associated Tasks:


Missing Values?


Number of Web Hits:



Aigerim Mussina, mussina.aigerim95 '@', Department of Computer Science, al-Farabi Kazakh National University
Sanzhar Aubakirov, aubakirov.sanzhar '@', 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:


Citation Request:

Please refer to the Machine Learning Repository's citation policy

Supported By:

 In Collaboration With:

About  ||  Citation Policy  ||  Donation Policy  ||  Contact  ||  CML