DEVELOPMENT OF NEUROMORPHIC ARTIFICIAL INTELLIGENCE FOR PHYSIOTHERAPEUTIC POSTURAL ASSESSMENT INTEGRATED WITH OPENCV

Authors

  • Antonio Wanzeler Neto Author
  • Thiago Nicolau Magalhães de Souza Conte Author
  • Wilker José Caminha dos Santos Author
  • Wanderson Alexandre da Silva Quinto Author
  • Armando José de Sá Santos Author
  • Beatriz Sampaio Quinto Author
  • Alan Marcel Fernandes de Souza Author

DOI:

https://doi.org/10.56238/arev7n7-304

Keywords:

Neuromorphic Artificial Intelligence, OpenCV, Physiotherapy Postural Assessment, Automated Musculoskeletal Diagnosis

Abstract

This work presents the development of a computational system aimed at automating physiotherapy postural assessments, using neuromorphic artificial intelligence and computer vision techniques with the OpenCV library in Python. The system captures images of patients during assessments and performs advanced analyses using neuromorphic networks to identify and predict postural deviations, contributing to more accurate diagnoses of musculoskeletal pathologies. The proposal will be implemented in a clinic located in Mocajuba, Pará, aiming to increase the efficiency of postural monitoring, reduce manual errors, and optimize the time of physiotherapy professionals.

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Published

2025-07-23

Issue

Vol. 7 No. 7 (2025)

Section

Articles

How to Cite

WANZELER NETO, Antonio; CONTE, Thiago Nicolau Magalhães de Souza; DOS SANTOS, Wilker José Caminha; QUINTO, Wanderson Alexandre da Silva; SANTOS, Armando José de Sá; QUINTO, Beatriz Sampaio; DE SOUZA, Alan Marcel Fernandes. DEVELOPMENT OF NEUROMORPHIC ARTIFICIAL INTELLIGENCE FOR PHYSIOTHERAPEUTIC POSTURAL ASSESSMENT INTEGRATED WITH OPENCV. ARACÊ , [S. l.], v. 7, n. 7, p. 40433–40452, 2025. DOI: 10.56238/arev7n7-304. Disponível em: https://periodicos.newsciencepubl.com/arace/article/view/7019. Acesso em: 5 dec. 2025.