A Pilot Study for Developing Mobile App and Cloud Computing for Upper Extremities Motion Analysis

Parth S. Kumthekar, Abhishek Sharma, Sravani Malla, R. Tyler Richardson, Aldo W. Morales, Hien Nguyen, Sedig S. Agili, Truong Tran

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Shoulder and elbow range of motion (ROM) impairment significantly affects an individual's quality of life, yet existing healthcare solutions for evaluating ROMs are often limited by cost, time, and accessibility constraints, particularly in smaller cities. In response, this paper presents a case study on a novel mobile and cloud computing application leveraging Machine Learning and Artificial Intelligence advancements to address these challenges. ROMs calculated by the mobile application are evaluated against a reference standard of motion capture (Qualisys 10-camera system) for specific upper extremity movements. Results demonstrate the proposed mobile and cloud application's accurate ROM measurement, with slight deviations at peak ROM compared to the Qualisys system. By providing a mobile, cost-effective solution, the proposed application aims to enhance diagnostic capabilities and address the critical need for automatic assessment of motions to support clinical and healthcare decision - making.

Original languageEnglish (US)
Title of host publicationProceeding - 2024 IEEE Cloud Summit, Cloud Summit 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages24-27
Number of pages4
ISBN (Electronic)9798350370065
DOIs
StatePublished - 2024
Event2024 IEEE Cloud Summit, Cloud Summit 2024 - Washington, United States
Duration: Jun 27 2024Jun 28 2024

Publication series

NameProceeding - 2024 IEEE Cloud Summit, Cloud Summit 2024

Conference

Conference2024 IEEE Cloud Summit, Cloud Summit 2024
Country/TerritoryUnited States
CityWashington
Period6/27/246/28/24

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Information Systems and Management
  • Safety, Risk, Reliability and Quality
  • Hardware and Architecture

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