This module provides an interface to MATLAB that allows you to use existing positioning algorithms created in MATLAB within OpenHPS.
If you have npm installed, start using @openhps/matlab with the following command.
npm install @openhps/matlab --save- Install MATLAB 2019a or higher
This module will serialize data frames and execute a process function.
import { ModelBuilder } from '@openhps/core';
import { MatlabProcessingNode } from '@openhps/matlab';
ModelBuilder.create()
.from(/* ... */)
.via(new MatlabProcessingNode("process.m"))
.to(/* ... */)
.build();process.m
function frame = process(frame)
endimport { ModelBuilder } from '@openhps/core';
import { MatlabProcessingNode } from '@openhps/matlab';
ModelBuilder.create()
.from(/* ... */)
.via(new MatlabProcessingNode(`
`))
.to(/* ... */)
.build();The framework is open source and is mainly developed by PhD Student Maxim Van de Wynckel as part of his research towards Hybrid Positioning and Implicit Human-Computer Interaction under the supervision of Prof. Dr. Beat Signer.
Use of OpenHPS, contributions and feedback is highly appreciated. Please read our contributing guidelines for more information.
Copyright (C) 2019-2022 Maxim Van de Wynckel & Vrije Universiteit Brussel
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at
https://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.