OpenHPS - An Open Source Hybrid Positioning System
OpenHPS is an open source hybrid positioning system to help developers fuse various positioning technologies and algorithms. The system offers a modular data processing framework with each modules ranging from computer vision to common algorithms such as fingerprinting or data persistence of sampled data.
The framework is maintained and used by the Web and Information Systems Engineering Lab at the Vrije Universiteit Brussel. Read more...

Quick Start

If you have npm installed, start using @openhps/core with the following commands.

bash
$ npm install @openhps/core --save

Then you can start by importing the model builder to create your first positioning model.

ts
import { ModelBuilder } from '@openhps/core';
ModelBuilder.create()
.from(/* ... */)
.via(/* ... */)
.to(/* ... */)
.build();

Latest News

  1. OpenHPS: Single Floor Fingerprinting and Trajectory Dataset WLAN, BLE and IMU dataset in four directions created with OpenHPS.
  2. Technical Report In this technical report we present our open source hybrid positioning system called OpenHPS.