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. BeJSConf: OpenHPS conference booth
    BeJSConf: OpenHPS conference booth OpenHPS was exhibited at a conference booth at the Belgian Javascript Conference on May 12th 2023.
  2. OpenHPS v0.4 - Sensors, Web source nodes, RDF and more ...
    OpenHPS v0.4 - Sensors, Web source nodes, RDF and more ... We have released OpenHPS v0.4 which adds new Web source nodes, better use of sensors and improved mapping to semantic linked data.
  3. FOSDEM 2022: Rapid Prototyping of a Positioning System Using the OpenHPS Framework
    FOSDEM 2022: Rapid Prototyping of a Positioning System Using the OpenHPS Framework OpenHPS was presented at FOSDEM 2022 where we focussed on the open source collaboration oppertunities and presented the framework from a more technical point of view.