Comparative Performance Analysis of Machine Learning Algorithms for Arm and Shoulder Exercises Using Wrist-Worn Band-Reference-Cited by-同舟云学术

Comparative Performance Analysis of Machine Learning Algorithms for Arm and Shoulder Exercises Using Wrist-Worn Band

Published:2023 Issue: Volume:11 Page:111598-111607
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Asghar Aamer Bilal¹^ORCID,Majeed Maham¹,Taseer Abdullah¹^ORCID,Khan Muhammad Burhan¹,Naveed Khazina²^ORCID,Jaffery Mujtaba Hussain¹^ORCID,Ejsmont Krzysztof³^ORCID

Affiliation:

1. Department of Electrical and Computer Engineering, COMSATS University Islamabad, Lahore Campus, Lahore, Pakistan

2. Department of Computer Science, Bahria University, Lahore Campus, Lahore, Pakistan

3. Faculty of Mechanical and Industrial Engineering, Warsaw University of Technology, Warsaw, Poland

Funder

Politechnika Warszawska

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10274973.pdf?arnumber=10274973

Reference32 articles.

1. Exercise-Based Muscle Development Programmes and Their Effectiveness in the Functional Recovery of Rotator Cuff Tendinopathy: A Systematic Review

2. Wearable sensors and machine learning in post-stroke rehabilitation assessment: A systematic review

3. Comparison of the Scapular Muscles Activity Between Individuals With and Without Scapular Winging During Shoulder Flexion With Load

4. Shoulder Range of Motion Measurement Using Inertial Measurement Unit—Validation with a Robot Arm

5. Performance Analysis of Machine Learning Algorithms in Prediction of Student Academic Performance

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