Hand Tracking and Gesture Recognition by Multiple Contactless Sensors: A Survey
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: | https://hdl.handle.net/10216/148114 |
Resumo: | Hand tracking and gesture recognition are fundamental in a multitude of applications. Various sensors have been used for this purpose, however, all monocular vision systems face limitations caused by occlusions. Wearable equipment overcome said limitations, although deemed impractical in some cases. Using more than one sensor provides a way to overcome this problem, but necessitates more complicated designs. In this work, we aim to highlight contemporary methods used for hand tracking and gesture recognition by collecting publications of systems developed in the last decade, that employ contactless devices as RGB cameras, IR, and depth sensors, along with some preceding pillar works. Additionally, we briefly present common steps, techniques, and basic algorithms used during the process of developing modern hand tracking and gesture recognition systems and, finally, we derive the trend for the next future. |
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Hand Tracking and Gesture Recognition by Multiple Contactless Sensors: A SurveyCiências Tecnológicas, Ciências da engenharia e tecnologiasTechnological sciences, Engineering and technologyHand tracking and gesture recognition are fundamental in a multitude of applications. Various sensors have been used for this purpose, however, all monocular vision systems face limitations caused by occlusions. Wearable equipment overcome said limitations, although deemed impractical in some cases. Using more than one sensor provides a way to overcome this problem, but necessitates more complicated designs. In this work, we aim to highlight contemporary methods used for hand tracking and gesture recognition by collecting publications of systems developed in the last decade, that employ contactless devices as RGB cameras, IR, and depth sensors, along with some preceding pillar works. Additionally, we briefly present common steps, techniques, and basic algorithms used during the process of developing modern hand tracking and gesture recognition systems and, finally, we derive the trend for the next future.2022-022022-02-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleimage/pngapplication/pdfhttps://hdl.handle.net/10216/148114eng2168-229110.1109/thms.2022.3188840Eleni TheodoridouLuigi CinqueFilippo MignosiGiuseppe PlacidiMatteo PolsinelliJoão Manuel R. S. TavaresMatteo Spezialettiinfo: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:RCAAP2023-11-29T13:00:54Zoai:repositorio-aberto.up.pt:10216/148114Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T23:31:47.355453Repositório 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 |
Hand Tracking and Gesture Recognition by Multiple Contactless Sensors: A Survey |
title |
Hand Tracking and Gesture Recognition by Multiple Contactless Sensors: A Survey |
spellingShingle |
Hand Tracking and Gesture Recognition by Multiple Contactless Sensors: A Survey Eleni Theodoridou Ciências Tecnológicas, Ciências da engenharia e tecnologias Technological sciences, Engineering and technology |
title_short |
Hand Tracking and Gesture Recognition by Multiple Contactless Sensors: A Survey |
title_full |
Hand Tracking and Gesture Recognition by Multiple Contactless Sensors: A Survey |
title_fullStr |
Hand Tracking and Gesture Recognition by Multiple Contactless Sensors: A Survey |
title_full_unstemmed |
Hand Tracking and Gesture Recognition by Multiple Contactless Sensors: A Survey |
title_sort |
Hand Tracking and Gesture Recognition by Multiple Contactless Sensors: A Survey |
author |
Eleni Theodoridou |
author_facet |
Eleni Theodoridou Luigi Cinque Filippo Mignosi Giuseppe Placidi Matteo Polsinelli João Manuel R. S. Tavares Matteo Spezialetti |
author_role |
author |
author2 |
Luigi Cinque Filippo Mignosi Giuseppe Placidi Matteo Polsinelli João Manuel R. S. Tavares Matteo Spezialetti |
author2_role |
author author author author author author |
dc.contributor.author.fl_str_mv |
Eleni Theodoridou Luigi Cinque Filippo Mignosi Giuseppe Placidi Matteo Polsinelli João Manuel R. S. Tavares Matteo Spezialetti |
dc.subject.por.fl_str_mv |
Ciências Tecnológicas, Ciências da engenharia e tecnologias Technological sciences, Engineering and technology |
topic |
Ciências Tecnológicas, Ciências da engenharia e tecnologias Technological sciences, Engineering and technology |
description |
Hand tracking and gesture recognition are fundamental in a multitude of applications. Various sensors have been used for this purpose, however, all monocular vision systems face limitations caused by occlusions. Wearable equipment overcome said limitations, although deemed impractical in some cases. Using more than one sensor provides a way to overcome this problem, but necessitates more complicated designs. In this work, we aim to highlight contemporary methods used for hand tracking and gesture recognition by collecting publications of systems developed in the last decade, that employ contactless devices as RGB cameras, IR, and depth sensors, along with some preceding pillar works. Additionally, we briefly present common steps, techniques, and basic algorithms used during the process of developing modern hand tracking and gesture recognition systems and, finally, we derive the trend for the next future. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-02 2022-02-01T00:00:00Z |
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 |
https://hdl.handle.net/10216/148114 |
url |
https://hdl.handle.net/10216/148114 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
2168-2291 10.1109/thms.2022.3188840 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
image/png application/pdf |
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 |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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