Camera Setup and OpenPose Software without GPU for Calibration and Recording in Telerehabilitation Use

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21460%2F21%3A00354734" target="_blank" >RIV/68407700:21460/21:00354734 - isvavai.cz</a>

Alternative codes found

RIV/68407700:21730/21:00354734

Result on the web

<a href="https://doi.org/10.1109/EHB52898.2021.9657743" target="_blank" >https://doi.org/10.1109/EHB52898.2021.9657743</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/EHB52898.2021.9657743" target="_blank" >10.1109/EHB52898.2021.9657743</a>

Result language

angličtina

Original language name

Camera Setup and OpenPose Software without GPU for Calibration and Recording in Telerehabilitation Use

Original language description

Home exercises are significant in the rehabilitation process of physiotherapy patients, which lack immediate feedback as to the proper movement and therefore might humper patient treatment. In this paper we are proposing an algorithm for fast tracking of human body movements performed during physiotherapeutic exercises using a simple webcam home setup and common domestically available CPU computing resources. We use OpenPose for detecting body vertices in key frames and a novel vertex tracking algorithm between video frames, which leverages encoded video Motion Vectors (MVs). We show excellent tracking accuracy between frames and x15 reduction in time, as compared to native OpenPose, which would require a Graphical Processing Unit (GPU) to perform in real time. We further provide a design and implementation of a precision camera system consisting of two cameras in the frontal and lateral direction, which were precisely positioned using a laser cross. This system will be also used to verify whether the webcam is able to record with sufficient quality to further image processing analysis. As part of this work, a camera system including supporting calibration and recording scripts was designed and implemented. The cameras triggers were synchronized by wire interconnection and set up by proposed script. In this work we synchronize two cameras and align their frames such that the OpenPose can be applied independently to each of the two channels to measure movements from two different body projections (3D).

Czech name

—

Czech description

—

Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

20601 - Medical engineering

Project

<a href="/en/project/LTAIZ19008" target="_blank" >LTAIZ19008: Enhancing Robotic Physiotherapeutic Treatments using Machine Learning</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2021

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

2021 International Conference on e-Health and Bioengineering (EHB)

ISBN

978-1-6654-4000-4

ISSN

2575-5137

e-ISSN

2575-5145

Number of pages

4

Pages from-to

1-4

Publisher name

IEEE Industrial Electronic Society

Place of publication

Vienna

Event location

Iasi

Event date

Nov 18, 2021

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

000802227900203