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116046

Automatic Feedback For Physiotherapy Exercises Based On PoseNet

Article

Last updated: 26 Dec 2024

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-

Tags

تطبيقات علوم الحاسوب في النمذجة

Abstract

This project helps patients who undergo physio- therapy exercises. It can help patients to do right poses and prevent them getting injured during the exercises. The home- based physiotherapy exercise (HPTE) dataset is used. The dataset consists of eight exercises which focus on shoulder, and knee. It is performed by five different actors with different shapes and sex. Our system uses seven exercises with two sides for more variety and better user experience. The main idea of the system is based on detecting the body key points using one of pose estimation techniques. The key points are extracted from different exercises and build our pickle file. Then, those pickle file's key points are compared to the key points of the patient using dynamic time warping. The system is implemented as a desktop application with a simple user interface and a 3D avatar is used to guide the patients to perform the exercises correctly. The system gives them a score on the exercise and a feedback on which parts of their body have incorrectly posture. Our system offers high accuracy pose estimation and pose comparison with a minimum accuracy of 80%.

DOI

10.21608/fcihib.2020.116046

Keywords

pose estimation, physiotherapy exercises, key points extraction, automatic feedback

Authors

First Name

حسين

Last Name

رکبه

MiddleName

-

Affiliation

قسم علوم الحاسب, کلية الحاسبات و الذکاء الاصطناعي, جامعة حلوان, القاهرة, مصر

Email

husseinayman2@fci.helwan.edu.eg

City

القاهرة

Orcid

-

First Name

بسنت

Last Name

حسين عبدالله

MiddleName

-

Affiliation

قسم علوم الحاسب, کلية الحاسبات و الذکاء الاصطناعي, جامعة حلوان, القاهرة, مصر

Email

basant_20160107@fci.helwan.edu.com

City

القاهرة

Orcid

-

First Name

اسماء

Last Name

احمد عبدالله

MiddleName

-

Affiliation

قسم علوم الحاسب, کلية الحاسبات و الذکاء الاصطناعي, جامعة حلوان, القاهرة, مصر

Email

asmaa_20160069@fci.helwan.edu.eg

City

القاهرة

Orcid

-

First Name

رنا

Last Name

اسامة عبدالعال

MiddleName

-

Affiliation

قسم علوم الحاسب, کلية الحاسبات و الذکاء الاصطناعي, جامعة حلوان, القاهرة, مصر

Email

ranaosama263@fci.helwan.edu.eg

City

القاهرة

Orcid

-

First Name

رويس

Last Name

رضا نعمان

MiddleName

-

Affiliation

قسم علوم الحاسب, کلية الحاسبات و الذکاء الاصطناعي, جامعة حلوان, القاهرة, مصر

Email

rewasreda2015@gmail.com

City

القاهرة

Orcid

-

First Name

ايه

Last Name

خالد درويش

MiddleName

-

Affiliation

قسم علوم الحاسب, کلية الحاسبات و الذکاء الاصطناعي, جامعة حلوان, القاهرة, مصر

Email

aya_20160099@fci.helwan.edu.eg

City

القاهرة

Orcid

-

First Name

وسام

Last Name

البهيدى

MiddleName

-

Affiliation

قسم علوم الحاسب، کلية الحاسبات والذکاء الاصطناعى، جامعة حلوان، القاهرة، مصر

Email

w_behaidy@fci.helwan.edu.eg

City

-

Orcid

-

Volume

2

Article Issue

2

Related Issue

16280

Issue Date

2020-10-01

Receive Date

2020-08-25

Publish Date

2020-10-01

Page Start

10

Page End

14

Print ISSN

2537-0901

Online ISSN

2535-1397

Article File

FCIHIB_Volume 2_Issue 2_Pages 10-14.pdf

PDF . 397.1kB

Link

https://fcihib.journals.ekb.eg/article_116046.html

Detail API

https://fcihib.journals.ekb.eg/service?article_code=116046

Order

3

Type

المقالة الأصلية

Type Code

1,411

Publication Type

Journal

Publication Title

النشرة المعلوماتية في الحاسبات والمعلومات

Publication Link

https://fcihib.journals.ekb.eg/

MainTitle

Automatic Feedback For Physiotherapy Exercises Based On PoseNet

Details

Type

Article

Created At

23 Jan 2023