Towards Automatic Gait Analysis from an IT Perspective: A Kinesiology Case
Towards Automatic Gait Analysis from an IT Perspective: A Kinesiology Case
Authors
Cordova, Matias
Diaz, Jaime
Arango Lopez, Jeferson
Ahumada, Danay
Moreira, Fernando
Rocha, A
Adeli, H
Dzemyda, G
Moreira, F
Diaz, Jaime
Arango Lopez, Jeferson
Ahumada, Danay
Moreira, Fernando
Rocha, A
Adeli, H
Dzemyda, G
Moreira, F
Profesor GuĆa
Authors
Date
Datos de publicaciĆ³n:
10.1007/978-3-031-04829-6_36
INFORMATION SYSTEMS AND TECHNOLOGIES, WORLDCIST 2022, VOL 3,Vol.470,404-412,2022
INFORMATION SYSTEMS AND TECHNOLOGIES, WORLDCIST 2022, VOL 3,Vol.470,404-412,2022
Tipo de recurso
Meeting
Keywords
Materia geogrƔfica
Collections
Abstract
Currently, kinesiologists who study the posture of people during walking rely on spreadsheets and visual posture assessment. Some technologies make it possible to include sensors in people's bodies to identify their movements. Today, artificial intelligence is supporting many medical processes. In this sense, our proposal focuses on developing software based on Computer Vision and Artificial Intelligence. The software is deployed in a robust architecture based on microservices to support the process of image analysis with high concurrency. This software assists specialists in the analysis and measurements of lower extremity angles and distances during gait. On this occasion, we are working with a local medical center, specialists in caring for high-performance athletes. One of its crucial kinesiology care activities is the performance of kinematic gait analysis.