Glove prototype for feature extraction applied to learning by demonstration purposes
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10198/25429 |
Resumo: | This article focuses on a sensorial glove prototype capable of acquiring hand motion and estimating its pose. The presented solution features twelve inertial measurement units (IMUs) to track hand orientation. The sensors are attached to a glove to decrease the project cost. The system also focuses on sensor fusion algorithms for the IMUs and further implementations, presenting the algebraic quaternion algorithm (AQUA), used because of its modularity and intuitive implementation. An adaptation of a human hand model is proposed, explaining its advantages and its limitations. Considering that the calibration is a very important process in gyroscope performance, the online and offline calibration data was analyzed, pointing out its challenges and improvements. To better visualize the model and sensors a simulation was conducted in Unity. |
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Glove prototype for feature extraction applied to learning by demonstration purposesVirtual simulationSensoringGloveLearning by demonstrationPrototypeIMUThis article focuses on a sensorial glove prototype capable of acquiring hand motion and estimating its pose. The presented solution features twelve inertial measurement units (IMUs) to track hand orientation. The sensors are attached to a glove to decrease the project cost. The system also focuses on sensor fusion algorithms for the IMUs and further implementations, presenting the algebraic quaternion algorithm (AQUA), used because of its modularity and intuitive implementation. An adaptation of a human hand model is proposed, explaining its advantages and its limitations. Considering that the calibration is a very important process in gyroscope performance, the online and offline calibration data was analyzed, pointing out its challenges and improvements. To better visualize the model and sensors a simulation was conducted in Unity.MDPIBiblioteca Digital do IPBCerqueira, TiagoRibeiro, FranciscoPinto, Vítor H.Lima, JoséGoncalves, Gil2022-05-11T10:56:40Z20222022-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10198/25429engCerqueira, Tiago; Ribeiro, Francisco; Pinto, Vítor H.; Lima, Jose; Goncalves, Gil. (2023). Glove prototype for feature extraction applied to learning by demonstration purposes. Applied Sciences. EISSN 2076-3417. 12:21, p. 1-242076-3417info: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:RCAAP2023-11-21T10:56:54Zoai:bibliotecadigital.ipb.pt:10198/25429Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T23:16:04.290886Repositório 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 |
Glove prototype for feature extraction applied to learning by demonstration purposes |
title |
Glove prototype for feature extraction applied to learning by demonstration purposes |
spellingShingle |
Glove prototype for feature extraction applied to learning by demonstration purposes Cerqueira, Tiago Virtual simulation Sensoring Glove Learning by demonstration Prototype IMU |
title_short |
Glove prototype for feature extraction applied to learning by demonstration purposes |
title_full |
Glove prototype for feature extraction applied to learning by demonstration purposes |
title_fullStr |
Glove prototype for feature extraction applied to learning by demonstration purposes |
title_full_unstemmed |
Glove prototype for feature extraction applied to learning by demonstration purposes |
title_sort |
Glove prototype for feature extraction applied to learning by demonstration purposes |
author |
Cerqueira, Tiago |
author_facet |
Cerqueira, Tiago Ribeiro, Francisco Pinto, Vítor H. Lima, José Goncalves, Gil |
author_role |
author |
author2 |
Ribeiro, Francisco Pinto, Vítor H. Lima, José Goncalves, Gil |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
Biblioteca Digital do IPB |
dc.contributor.author.fl_str_mv |
Cerqueira, Tiago Ribeiro, Francisco Pinto, Vítor H. Lima, José Goncalves, Gil |
dc.subject.por.fl_str_mv |
Virtual simulation Sensoring Glove Learning by demonstration Prototype IMU |
topic |
Virtual simulation Sensoring Glove Learning by demonstration Prototype IMU |
description |
This article focuses on a sensorial glove prototype capable of acquiring hand motion and estimating its pose. The presented solution features twelve inertial measurement units (IMUs) to track hand orientation. The sensors are attached to a glove to decrease the project cost. The system also focuses on sensor fusion algorithms for the IMUs and further implementations, presenting the algebraic quaternion algorithm (AQUA), used because of its modularity and intuitive implementation. An adaptation of a human hand model is proposed, explaining its advantages and its limitations. Considering that the calibration is a very important process in gyroscope performance, the online and offline calibration data was analyzed, pointing out its challenges and improvements. To better visualize the model and sensors a simulation was conducted in Unity. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-05-11T10:56:40Z 2022 2022-01-01T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10198/25429 |
url |
http://hdl.handle.net/10198/25429 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Cerqueira, Tiago; Ribeiro, Francisco; Pinto, Vítor H.; Lima, Jose; Goncalves, Gil. (2023). Glove prototype for feature extraction applied to learning by demonstration purposes. Applied Sciences. EISSN 2076-3417. 12:21, p. 1-24 2076-3417 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
MDPI |
publisher.none.fl_str_mv |
MDPI |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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