Sensor Selector Application icon

Sensor Selector 3.0

2 MB / 0+ Downloads / Rating 5.0 - 1 reviews


See previous versions

Sensor Selector, developed and published by Data Quality Lab, has released its latest version, 3.0, on 2024-07-13. This app falls under the Tools category on the Google Play Store and has achieved over 10 installs. It currently holds an overall rating of 5.0, based on 1 reviews.

Sensor Selector APK available on this page is compatible with all Android devices that meet the required specifications (Android 5.0+). It can also be installed on PC and Mac using an Android emulator such as Bluestacks, LDPlayer, and others.

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App Screenshot

App Screenshot

App Details

Package name: edu.rit.dataqualitylab.sensorselector

Updated: 7 months ago

Developer Name: Data Quality Lab

Category: Tools

New features: Show more

Installation Instructions

This article outlines two straightforward methods for installing Sensor Selector on PC Windows and Mac.

Using BlueStacks

  1. Download the APK/XAPK file from this page.
  2. Install BlueStacks by visiting http://bluestacks.com.
  3. Open the APK/XAPK file by double-clicking it. This action will launch BlueStacks and begin the application's installation. If the APK file does not automatically open with BlueStacks, right-click on it and select 'Open with...', then navigate to BlueStacks. Alternatively, you can drag-and-drop the APK file onto the BlueStacks home screen.
  4. Wait a few seconds for the installation to complete. Once done, the installed app will appear on the BlueStacks home screen. Click its icon to start using the application.

Using LDPlayer

  1. Download and install LDPlayer from https://www.ldplayer.net.
  2. Drag the APK/XAPK file directly into LDPlayer.

If you have any questions, please don't hesitate to contact us.

Previous Versions

Sensor Selector 3.0
2024-07-13 / 2 MB / Android 5.0+

Sensor Selector 1.1
2023-03-06 / 2.2 MB / Android 5.0+

About this app

This application uses a Machine Learning technique, based on Genetic Algorithms, to find the best combination of the same type sensors from which data could be fused in order to ensure the certain data quality (DQ) level. In DQ calculation, it integrates conventional data quality metrics representing accuracy as well as the security aspects of the device. However, users are given an option to choose DQ metrics to be considered. Using Genetic Algorithms allows getting high Data Quality in real time. This application needs data representing various sensor quality and security characteristics. This data set could be provided by a user but the given version contains a sample dataset describing characteristics of various Android-based mobile devices and their built-in sensors copied from http://www.dataqualitylabs.com/dataView.

Authors: Ameya Deepak Nagnur, Igor Khokhlov and Leon Reznik

New features

Minor fixes