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

SemBeacon, OpenHPS and the bridge between Wednesday, 18 Oct 2023 Our SemBeacon solution will be presented at the 13th IoT conference in Nagoya, Japan. Find out how SemBeacon, OpenHPS and POSO help to achieve interoperable positioning systems.
BeJSConf: OpenHPS conference booth Friday, 12 May 2023 OpenHPS was exhibited at a conference booth at the Belgian Javascript Conference on May 12th 2023.
OpenHPS v0.4 - Sensors, Web source nodes, RDF and more ... Sunday, 26 Feb 2023 We have released OpenHPS v0.4 which adds new Web source nodes, better use of sensors and improved mapping to semantic linked data.

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