Human/Robot communication through the application of bio-electrical signal interfaces
- Autores
- Ierache, Jorge Salvador; Pereira, Gustavo; Sattolo, Iris; Irribaren, Juan
- Año de publicación
- 2012
- Idioma
- inglés
- Tipo de recurso
- documento de conferencia
- Estado
- versión publicada
- Descripción
- This article shows the experiences carried out in the context of human/robot communication, on the basis of brain bio-electrical signals, with the application of the Brain-Machine Interface from NIA. There are available technologies and interfaces which have facilitated the reading of the user’s brain bio-electrical signals and their association to explicit commands that have allowed the control of biped and mobile robots (NXT-Lego) through the adaptation of communication devices. Our work presents an engineering solution, with the application of technological bases, the development of communication framework local and remote control, the description of experiments and the discussion of the results achieved in field tests. Finally, the Brain-Machine Interface (BMI) from Emotiv is presented.
Eje: Workshop Procesamiento de señales y sistemas de tiempo real (WPSTR)
Red de Universidades con Carreras en Informática (RedUNCI) - Materia
-
Ciencias Informáticas
Robotics
Signal processing
Real time
Robots
Brain Machine Interface
Bio-Electrical Signal
Human Machine Interfaces - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Universidad Nacional de La Plata
- OAI Identificador
- oai:sedici.unlp.edu.ar:10915/23811
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Human/Robot communication through the application of bio-electrical signal interfacesIerache, Jorge SalvadorPereira, GustavoSattolo, IrisIrribaren, JuanCiencias InformáticasRoboticsSignal processingReal timeRobotsBrain Machine InterfaceBio-Electrical SignalHuman Machine InterfacesThis article shows the experiences carried out in the context of human/robot communication, on the basis of brain bio-electrical signals, with the application of the Brain-Machine Interface from NIA. There are available technologies and interfaces which have facilitated the reading of the user’s brain bio-electrical signals and their association to explicit commands that have allowed the control of biped and mobile robots (NXT-Lego) through the adaptation of communication devices. Our work presents an engineering solution, with the application of technological bases, the development of communication framework local and remote control, the description of experiments and the discussion of the results achieved in field tests. Finally, the Brain-Machine Interface (BMI) from Emotiv is presented.Eje: Workshop Procesamiento de señales y sistemas de tiempo real (WPSTR)Red de Universidades con Carreras en Informática (RedUNCI)2012-10info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfhttp://sedici.unlp.edu.ar/handle/10915/23811enginfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/2.5/ar/Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-10-15T10:48:14Zoai:sedici.unlp.edu.ar:10915/23811Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-10-15 10:48:14.359SEDICI (UNLP) - Universidad Nacional de La Platafalse |
dc.title.none.fl_str_mv |
Human/Robot communication through the application of bio-electrical signal interfaces |
title |
Human/Robot communication through the application of bio-electrical signal interfaces |
spellingShingle |
Human/Robot communication through the application of bio-electrical signal interfaces Ierache, Jorge Salvador Ciencias Informáticas Robotics Signal processing Real time Robots Brain Machine Interface Bio-Electrical Signal Human Machine Interfaces |
title_short |
Human/Robot communication through the application of bio-electrical signal interfaces |
title_full |
Human/Robot communication through the application of bio-electrical signal interfaces |
title_fullStr |
Human/Robot communication through the application of bio-electrical signal interfaces |
title_full_unstemmed |
Human/Robot communication through the application of bio-electrical signal interfaces |
title_sort |
Human/Robot communication through the application of bio-electrical signal interfaces |
dc.creator.none.fl_str_mv |
Ierache, Jorge Salvador Pereira, Gustavo Sattolo, Iris Irribaren, Juan |
author |
Ierache, Jorge Salvador |
author_facet |
Ierache, Jorge Salvador Pereira, Gustavo Sattolo, Iris Irribaren, Juan |
author_role |
author |
author2 |
Pereira, Gustavo Sattolo, Iris Irribaren, Juan |
author2_role |
author author author |
dc.subject.none.fl_str_mv |
Ciencias Informáticas Robotics Signal processing Real time Robots Brain Machine Interface Bio-Electrical Signal Human Machine Interfaces |
topic |
Ciencias Informáticas Robotics Signal processing Real time Robots Brain Machine Interface Bio-Electrical Signal Human Machine Interfaces |
dc.description.none.fl_txt_mv |
This article shows the experiences carried out in the context of human/robot communication, on the basis of brain bio-electrical signals, with the application of the Brain-Machine Interface from NIA. There are available technologies and interfaces which have facilitated the reading of the user’s brain bio-electrical signals and their association to explicit commands that have allowed the control of biped and mobile robots (NXT-Lego) through the adaptation of communication devices. Our work presents an engineering solution, with the application of technological bases, the development of communication framework local and remote control, the description of experiments and the discussion of the results achieved in field tests. Finally, the Brain-Machine Interface (BMI) from Emotiv is presented. Eje: Workshop Procesamiento de señales y sistemas de tiempo real (WPSTR) Red de Universidades con Carreras en Informática (RedUNCI) |
description |
This article shows the experiences carried out in the context of human/robot communication, on the basis of brain bio-electrical signals, with the application of the Brain-Machine Interface from NIA. There are available technologies and interfaces which have facilitated the reading of the user’s brain bio-electrical signals and their association to explicit commands that have allowed the control of biped and mobile robots (NXT-Lego) through the adaptation of communication devices. Our work presents an engineering solution, with the application of technological bases, the development of communication framework local and remote control, the description of experiments and the discussion of the results achieved in field tests. Finally, the Brain-Machine Interface (BMI) from Emotiv is presented. |
publishDate |
2012 |
dc.date.none.fl_str_mv |
2012-10 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/conferenceObject info:eu-repo/semantics/publishedVersion Objeto de conferencia http://purl.org/coar/resource_type/c_5794 info:ar-repo/semantics/documentoDeConferencia |
format |
conferenceObject |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://sedici.unlp.edu.ar/handle/10915/23811 |
url |
http://sedici.unlp.edu.ar/handle/10915/23811 |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-sa/2.5/ar/ Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5) |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
http://creativecommons.org/licenses/by-nc-sa/2.5/ar/ Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5) |
dc.format.none.fl_str_mv |
application/pdf |
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reponame:SEDICI (UNLP) instname:Universidad Nacional de La Plata instacron:UNLP |
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Universidad Nacional de La Plata |
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SEDICI (UNLP) - Universidad Nacional de La Plata |
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score |
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