Cyber-Physical System for Evaluation of Taekwondo Athletes: An Initial Project Description

Detalhes bibliográficos
Autor(a) principal: Cunha, Pedro
Data de Publicação: 2023
Outros Autores: Barbosa, Paulo, Ferreira, Fábio, Silva, Tânia, Martins, Nuno, Soares, Filomena, Carvalho, Vítor
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/11110/2564
https://doi.org/10.3390/machines11020234
Resumo: Regardless of the type of sport, coaches must perform the difficult task of evaluating the performance of athletes. In some cases, this task is aided using technology which provides tools for this purpose. When the sport considered is taekwondo this scenario does not apply as the athlete evaluation methods used are mostly manual. Thus, the project presented in this paper has the main objective to develop a system that can be used as a tool to evaluate the performance of taekwondo athletes in real time, with special attention to the low cost of implementation and ease of use. With the intention of meeting these requirements, the developed system comprises a 3D camera with a depth sensor (Orbbec Astra), Inertial Measurement Units (IMUs) with accelerometer and gyroscope, a computer and specific software developed for this purpose. This system allows the collection of data from the athletes’ movements necessary for the creation of a dataset that is then analyzed and interpretated. The system permits the user to obtain real-time information about the speed, acceleration, and strength of the athlete’s limbs during training as well as the identification of some movements and their accounting. To achieve this functionality, deep-learning architecture models were used, more specifically long short-term memory (LSTM). The intention is to provide a new training methodology through faster feedback, so that a faster evolution of the athlete’s performance is possible, contributing to the technological development of the assessment practices used in taekwondo.
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spelling Cyber-Physical System for Evaluation of Taekwondo Athletes: An Initial Project DescriptionDeep-learningmotion analysisneural networkswearablescomputer visiontaekwondoRegardless of the type of sport, coaches must perform the difficult task of evaluating the performance of athletes. In some cases, this task is aided using technology which provides tools for this purpose. When the sport considered is taekwondo this scenario does not apply as the athlete evaluation methods used are mostly manual. Thus, the project presented in this paper has the main objective to develop a system that can be used as a tool to evaluate the performance of taekwondo athletes in real time, with special attention to the low cost of implementation and ease of use. With the intention of meeting these requirements, the developed system comprises a 3D camera with a depth sensor (Orbbec Astra), Inertial Measurement Units (IMUs) with accelerometer and gyroscope, a computer and specific software developed for this purpose. This system allows the collection of data from the athletes’ movements necessary for the creation of a dataset that is then analyzed and interpretated. The system permits the user to obtain real-time information about the speed, acceleration, and strength of the athlete’s limbs during training as well as the identification of some movements and their accounting. To achieve this functionality, deep-learning architecture models were used, more specifically long short-term memory (LSTM). The intention is to provide a new training methodology through faster feedback, so that a faster evolution of the athlete’s performance is possible, contributing to the technological development of the assessment practices used in taekwondo.Machines2023-03-06T09:59:13Z2023-03-062023-02-02T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/11110/2564https://doi.org/10.3390/machines11020234http://hdl.handle.net/11110/2564engCunha, PedroBarbosa, PauloFerreira, FábioSilva, TâniaMartins, NunoSoares, FilomenaCarvalho, Vítorinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-03-09T04:40:29Zoai:ciencipca.ipca.pt:11110/2564Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:10:55.618686Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Cyber-Physical System for Evaluation of Taekwondo Athletes: An Initial Project Description
title Cyber-Physical System for Evaluation of Taekwondo Athletes: An Initial Project Description
spellingShingle Cyber-Physical System for Evaluation of Taekwondo Athletes: An Initial Project Description
Cunha, Pedro
Deep-learning
motion analysis
neural networks
wearables
computer vision
taekwondo
title_short Cyber-Physical System for Evaluation of Taekwondo Athletes: An Initial Project Description
title_full Cyber-Physical System for Evaluation of Taekwondo Athletes: An Initial Project Description
title_fullStr Cyber-Physical System for Evaluation of Taekwondo Athletes: An Initial Project Description
title_full_unstemmed Cyber-Physical System for Evaluation of Taekwondo Athletes: An Initial Project Description
title_sort Cyber-Physical System for Evaluation of Taekwondo Athletes: An Initial Project Description
author Cunha, Pedro
author_facet Cunha, Pedro
Barbosa, Paulo
Ferreira, Fábio
Silva, Tânia
Martins, Nuno
Soares, Filomena
Carvalho, Vítor
author_role author
author2 Barbosa, Paulo
Ferreira, Fábio
Silva, Tânia
Martins, Nuno
Soares, Filomena
Carvalho, Vítor
author2_role author
author
author
author
author
author
dc.contributor.author.fl_str_mv Cunha, Pedro
Barbosa, Paulo
Ferreira, Fábio
Silva, Tânia
Martins, Nuno
Soares, Filomena
Carvalho, Vítor
dc.subject.por.fl_str_mv Deep-learning
motion analysis
neural networks
wearables
computer vision
taekwondo
topic Deep-learning
motion analysis
neural networks
wearables
computer vision
taekwondo
description Regardless of the type of sport, coaches must perform the difficult task of evaluating the performance of athletes. In some cases, this task is aided using technology which provides tools for this purpose. When the sport considered is taekwondo this scenario does not apply as the athlete evaluation methods used are mostly manual. Thus, the project presented in this paper has the main objective to develop a system that can be used as a tool to evaluate the performance of taekwondo athletes in real time, with special attention to the low cost of implementation and ease of use. With the intention of meeting these requirements, the developed system comprises a 3D camera with a depth sensor (Orbbec Astra), Inertial Measurement Units (IMUs) with accelerometer and gyroscope, a computer and specific software developed for this purpose. This system allows the collection of data from the athletes’ movements necessary for the creation of a dataset that is then analyzed and interpretated. The system permits the user to obtain real-time information about the speed, acceleration, and strength of the athlete’s limbs during training as well as the identification of some movements and their accounting. To achieve this functionality, deep-learning architecture models were used, more specifically long short-term memory (LSTM). The intention is to provide a new training methodology through faster feedback, so that a faster evolution of the athlete’s performance is possible, contributing to the technological development of the assessment practices used in taekwondo.
publishDate 2023
dc.date.none.fl_str_mv 2023-03-06T09:59:13Z
2023-03-06
2023-02-02T00:00:00Z
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/11110/2564
https://doi.org/10.3390/machines11020234
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https://doi.org/10.3390/machines11020234
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dc.publisher.none.fl_str_mv Machines
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