sEMG-Controlled Soft Exo-Glove for Assistive Rehabilitation Therapies

The movement of the human hand offers various degrees of freedom, enabling efficient performance of dynamic tasks and robust interaction with the environment in a compliant and continuous manner. However, the rigid exoskeleton used in hand rehabilitation limits the user's freedom of movement, c...

Descripción completa

Detalles Bibliográficos
Autores: Copaci, Dorin, Cerro, David Serrano Del, Guadalupe, Janeth Arias, Lorente, Luis Moreno, Rojas, Dolores Blanco
Tipo de recurso: artículo
Fecha de publicación:2024
País:España
Institución:Universidad de Málaga
Repositorio:DDFV. Repositorio Institucional de la Universidad Francisco de Vitoria
Idioma:inglés
OAI Identifier:oai:ddfv.ufv.es:10641/6995
Acceso en línea:https://hdl.handle.net/10641/6995
Access Level:acceso abierto
Palabra clave:Assistive rehabilitation
gesture classification
shape memory alloys
soft exo-glove
General Computer Science
General Materials Science
General Engineering
SDG 3 - Good Health and Well-being
Yes
yes
id ES_e7a37feca2f8dd2a58fc1982b01830de
oai_identifier_str oai:ddfv.ufv.es:10641/6995
network_acronym_str ES
network_name_str España
repository_id_str
spelling sEMG-Controlled Soft Exo-Glove for Assistive Rehabilitation TherapiesCopaci, DorinCerro, David Serrano DelGuadalupe, Janeth AriasLorente, Luis MorenoRojas, Dolores BlancoAssistive rehabilitationgesture classificationshape memory alloyssoft exo-gloveGeneral Computer ScienceGeneral Materials ScienceGeneral EngineeringSDG 3 - Good Health and Well-beingYesyesThe movement of the human hand offers various degrees of freedom, enabling efficient performance of dynamic tasks and robust interaction with the environment in a compliant and continuous manner. However, the rigid exoskeleton used in hand rehabilitation limits the user's freedom of movement, complicating their natural interaction with the environment. In this study, we present a soft exo-glove for assistive rehabilitation actuated by Shape Memory Alloys (SMA), controlled by a surface electromyography (sEMG) hand gesture classifier. Thanks to the actuator type, the soft exo-glove enables slow, smooth, and controlled movements when activated and provides complete control transparency when the device is not active. This advantage enhances the comfort and acceptance of the exo-glove by the patient. On the other hand, the classifier, in conjunction with the control algorithm and the soft exo-glove, offers the potential to use the exo-glove in assistive hand rehabilitation therapy. For user-friendly use, an interface has been developed, enabling the acquisition of new sEMG data from new users, retraining of the classifier, and connection with the soft exo-glove for rehabilitation therapy. The main objective of this study is to demonstrate that the proposed wearable soft exo-glove, along with the control algorithm and the employed classifier, constitutes an effective solution for assistive rehabilitation tasks, as demonstrated with healthy subjects. Furthermore, this solution can be easily adapted to the users' characteristics and requirements.Escuela Politécnica Superior20242024-01-0120242024-01-01journal articlehttp://purl.org/coar/resource_type/c_6501info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/10641/6995reponame:DDFV. Repositorio Institucional de la Universidad Francisco de Vitoriainstname:Universidad de MálagaInglésengopen accesshttp://purl.org/coar/access_right/c_abf2http://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:ddfv.ufv.es:10641/69952026-06-11T12:44:57Z
dc.title.none.fl_str_mv sEMG-Controlled Soft Exo-Glove for Assistive Rehabilitation Therapies
title sEMG-Controlled Soft Exo-Glove for Assistive Rehabilitation Therapies
spellingShingle sEMG-Controlled Soft Exo-Glove for Assistive Rehabilitation Therapies
Copaci, Dorin
Assistive rehabilitation
gesture classification
shape memory alloys
soft exo-glove
General Computer Science
General Materials Science
General Engineering
SDG 3 - Good Health and Well-being
Yes
yes
title_short sEMG-Controlled Soft Exo-Glove for Assistive Rehabilitation Therapies
title_full sEMG-Controlled Soft Exo-Glove for Assistive Rehabilitation Therapies
title_fullStr sEMG-Controlled Soft Exo-Glove for Assistive Rehabilitation Therapies
title_full_unstemmed sEMG-Controlled Soft Exo-Glove for Assistive Rehabilitation Therapies
title_sort sEMG-Controlled Soft Exo-Glove for Assistive Rehabilitation Therapies
dc.creator.none.fl_str_mv Copaci, Dorin
Cerro, David Serrano Del
Guadalupe, Janeth Arias
Lorente, Luis Moreno
Rojas, Dolores Blanco
author Copaci, Dorin
author_facet Copaci, Dorin
Cerro, David Serrano Del
Guadalupe, Janeth Arias
Lorente, Luis Moreno
Rojas, Dolores Blanco
author_role author
author2 Cerro, David Serrano Del
Guadalupe, Janeth Arias
Lorente, Luis Moreno
Rojas, Dolores Blanco
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Escuela Politécnica Superior
dc.subject.none.fl_str_mv Assistive rehabilitation
gesture classification
shape memory alloys
soft exo-glove
General Computer Science
General Materials Science
General Engineering
SDG 3 - Good Health and Well-being
Yes
yes
topic Assistive rehabilitation
gesture classification
shape memory alloys
soft exo-glove
General Computer Science
General Materials Science
General Engineering
SDG 3 - Good Health and Well-being
Yes
yes
description The movement of the human hand offers various degrees of freedom, enabling efficient performance of dynamic tasks and robust interaction with the environment in a compliant and continuous manner. However, the rigid exoskeleton used in hand rehabilitation limits the user's freedom of movement, complicating their natural interaction with the environment. In this study, we present a soft exo-glove for assistive rehabilitation actuated by Shape Memory Alloys (SMA), controlled by a surface electromyography (sEMG) hand gesture classifier. Thanks to the actuator type, the soft exo-glove enables slow, smooth, and controlled movements when activated and provides complete control transparency when the device is not active. This advantage enhances the comfort and acceptance of the exo-glove by the patient. On the other hand, the classifier, in conjunction with the control algorithm and the soft exo-glove, offers the potential to use the exo-glove in assistive hand rehabilitation therapy. For user-friendly use, an interface has been developed, enabling the acquisition of new sEMG data from new users, retraining of the classifier, and connection with the soft exo-glove for rehabilitation therapy. The main objective of this study is to demonstrate that the proposed wearable soft exo-glove, along with the control algorithm and the employed classifier, constitutes an effective solution for assistive rehabilitation tasks, as demonstrated with healthy subjects. Furthermore, this solution can be easily adapted to the users' characteristics and requirements.
publishDate 2024
dc.date.none.fl_str_mv 2024
2024-01-01
2024
2024-01-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/10641/6995
url https://hdl.handle.net/10641/6995
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2

http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2

http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:DDFV. Repositorio Institucional de la Universidad Francisco de Vitoria
instname:Universidad de Málaga
instname_str Universidad de Málaga
reponame_str DDFV. Repositorio Institucional de la Universidad Francisco de Vitoria
collection DDFV. Repositorio Institucional de la Universidad Francisco de Vitoria
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869422872769855488
score 15.811543

Similares en LA Referencia