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Decodificación de Movimientos Individuales de los Dedos y Agarre a Partir de Señales Mioeléctricas de Baja Densidad

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Decodificación de Movimientos Individuales de los Dedos y Agarre a Partir de Señales Mioeléctricas de Baja Densidad

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Villarejo Mayor, JJ.; Mamede Costa, R.; Frizera Neto, A.; Freire Bastos, T. (2017). Decodificación de Movimientos Individuales de los Dedos y Agarre a Partir de Señales Mioeléctricas de Baja Densidad. Revista Iberoamericana de Automática e Informática industrial. 14(2):184-192. https://doi.org/10.1016/j.riai.2017.02.001

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/143518

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Title: Decodificación de Movimientos Individuales de los Dedos y Agarre a Partir de Señales Mioeléctricas de Baja Densidad
Secondary Title: Decoding of Grasp and Individuated Finger Movements Based on Low-Density Myoelectric Signals
Author: Villarejo Mayor, John J. Mamede Costa, Regina Frizera Neto, Anselmo Freire Bastos, Teodiano
Issued date:
Abstract:
[ES] Uno de los principales retos en el diseño de prótesis de mano es poder establecer un control intuitivo que reduzca el esfuerzo del usuario durante su entrenamiento. Este trabajo presenta un esquema para identificar ...[+]


[EN] Intuitive prosthesis control is one of the most important challenges in order to reduce the user effort in learning to use an artificial hand. This work presents the development of a myoelectric pattern recognition ...[+]
Subjects: Señales electromiográficas , Prótesis de miembro superior , Reconocimiento de patrones , Tareas de destreza de la mano , Myoelectric signals , Upper-limb prosthesis , Superficial electromyography low density , Dexterous hand gestures , Pattern recognition
Copyrigths: Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
Source:
Revista Iberoamericana de Automática e Informática industrial. (issn: 1697-7912 ) (eissn: 1697-7920 )
DOI: 10.1016/j.riai.2017.02.001
Publisher:
Universitat Politècnica de València
Publisher version: https://doi.org/10.1016/j.riai.2017.02.001
Project ID:
CAPES-FAPES/007/2014
Thanks:
Este trabajo ha sido patrocinado por CAPES y FAPES/Brasil (Proyecto Número 007/2014: Use of Robotics and Assistive Technology for Children and Adults with Disabilities).
Type: Artículo

References

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