Body Movement Recognition System using Deep Learning: An Exploratory Study

António Saleiro, Marcos Costa, Jorge Ribeiro, Jorge Ribeiro, Bruno Silva, Bruno Silva

2022

Abstract

This paper presents an exploratory work using Deep Convolutional Neural Networks (CNN) in the context of detecting correct human movements during sports exercises, in particular specific physical exercises with the capability to perform the “5 times Sit-to-Stand Test” following the guideline of the Delaware university which is used in several settings to evaluate older adults’ functionality. It is used a supervised learning model implemented with an opensource approach for the detection of the human body position with the calculation aspect and angles of the limb movements (e.g. the angle of the knee) in order to recognize if the exercises were or not well executed. Results have shown that, under normal operating conditions, an accuracy in the exercises detection around 80% using the CNN Mobilenet architecture. We conclude that with the implementation of the Posenet algorithm using Tensorflow via ML5.js we achieved results of correct exercises accuracy between 53% and 79% for exercises involving the lower limbs and accuracy around 45% to the upper limbs. Due the promising results achieved, we intent in the future to extend the work with complementary approaches of human body pose estimation to improve the training strategy and different CNN network architectures to perform the recognition accuracy in the applicability context of correct execution exercises in elderly population physical activity scenarios.

Paper Citation

in Harvard Style

Saleiro A., Costa M., Ribeiro J. and Silva B. (2022). Body Movement Recognition System using Deep Learning: An Exploratory Study. In Proceedings of the 10th International Conference on Sport Sciences Research and Technology Support - Volume 1: icSPORTS, ISBN 978-989-758-610-1, pages 101-109. DOI: 10.5220/0011540500003321

in Bibtex Style

@conference{icsports22,
author={António Saleiro and Marcos Costa and Jorge Ribeiro and Bruno Silva},
title={Body Movement Recognition System using Deep Learning: An Exploratory Study},
booktitle={Proceedings of the 10th International Conference on Sport Sciences Research and Technology Support - Volume 1: icSPORTS,},
year={2022},
pages={101-109},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011540500003321},
isbn={978-989-758-610-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 10th International Conference on Sport Sciences Research and Technology Support - Volume 1: icSPORTS,
TI - Body Movement Recognition System using Deep Learning: An Exploratory Study
SN - 978-989-758-610-1
AU - Saleiro A.
AU - Costa M.
AU - Ribeiro J.
AU - Silva B.
PY - 2022
SP - 101
EP - 109
DO - 10.5220/0011540500003321