Assistive Robot Arm Controlled by a P300-based Brain Machine Interface for Daily Activities

David Achanccaray; Juan M. Chau; Jairo Pirca; Francisco Sepulveda; Mitsuhiro Hayashibe

doi:10.1109/NER.2019.8717042

Assistive Robot Arm Controlled by a P300-based Brain Machine Interface for Daily Activities

David Achanccaray, Juan M. Chau, Jairo Pirca, Francisco Sepulveda, Mitsuhiro Hayashibe

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

12 Citas (Scopus)

Resumen

This work proposes an assistive system for everyday activities composed by a brain machine interface (BMI) based on P300 to choose a predefined task, a robot arm to perform the chosen task, and a stereo vision subsystem developed with two cameras for object recognition and coordinates calculation. The system was tested with eight healthy subjects; its results were greater BMI accuracies, lower 3D coordinates calculation error, and lower task execution time than similar systems. However, it should be tested with disabled subjects to provide more reliable end-user results. Regardless, this system is suitable to assist healthy subjects for performing reaching task to grasp objects in daily activities, and the intuitive interface would be useful for disabled subjects.

Idioma original	Inglés
Título de la publicación alojada	9th International IEEE EMBS Conference on Neural Engineering, NER 2019
Editorial	IEEE Computer Society
Páginas	1171-1174
Número de páginas	4
ISBN (versión digital)	9781538679210
DOI	https://doi.org/10.1109/NER.2019.8717042
Estado	Publicada - 16 may. 2019
Evento	9th International IEEE EMBS Conference on Neural Engineering, NER 2019 - San Francisco, Estados Unidos Duración: 20 mar. 2019 → 23 mar. 2019

Serie de la publicación

Nombre	International IEEE/EMBS Conference on Neural Engineering, NER
Volumen	2019-March
ISSN (versión impresa)	1948-3546
ISSN (versión digital)	1948-3554

Conferencia

Conferencia	9th International IEEE EMBS Conference on Neural Engineering, NER 2019
País/Territorio	Estados Unidos
Ciudad	San Francisco
Período	20/03/19 → 23/03/19

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10.1109/NER.2019.8717042

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Achanccaray, D., Chau, J. M., Pirca, J., Sepulveda, F., & Hayashibe, M. (2019). Assistive Robot Arm Controlled by a P300-based Brain Machine Interface for Daily Activities. En 9th International IEEE EMBS Conference on Neural Engineering, NER 2019 (pp. 1171-1174). Artículo 8717042 (International IEEE/EMBS Conference on Neural Engineering, NER; Vol. 2019-March). IEEE Computer Society. https://doi.org/10.1109/NER.2019.8717042

@inproceedings{e3617774a69a4aca82fd330b730a507d,

title = "Assistive Robot Arm Controlled by a P300-based Brain Machine Interface for Daily Activities",

abstract = "This work proposes an assistive system for everyday activities composed by a brain machine interface (BMI) based on P300 to choose a predefined task, a robot arm to perform the chosen task, and a stereo vision subsystem developed with two cameras for object recognition and coordinates calculation. The system was tested with eight healthy subjects; its results were greater BMI accuracies, lower 3D coordinates calculation error, and lower task execution time than similar systems. However, it should be tested with disabled subjects to provide more reliable end-user results. Regardless, this system is suitable to assist healthy subjects for performing reaching task to grasp objects in daily activities, and the intuitive interface would be useful for disabled subjects.",

author = "David Achanccaray and Chau, {Juan M.} and Jairo Pirca and Francisco Sepulveda and Mitsuhiro Hayashibe",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 9th International IEEE EMBS Conference on Neural Engineering, NER 2019 ; Conference date: 20-03-2019 Through 23-03-2019",

year = "2019",

month = may,

day = "16",

doi = "10.1109/NER.2019.8717042",

language = "English",

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Achanccaray, D, Chau, JM, Pirca, J, Sepulveda, F & Hayashibe, M 2019, Assistive Robot Arm Controlled by a P300-based Brain Machine Interface for Daily Activities. En 9th International IEEE EMBS Conference on Neural Engineering, NER 2019., 8717042, International IEEE/EMBS Conference on Neural Engineering, NER, vol. 2019-March, IEEE Computer Society, pp. 1171-1174, 9th International IEEE EMBS Conference on Neural Engineering, NER 2019, San Francisco, Estados Unidos, 20/03/19. https://doi.org/10.1109/NER.2019.8717042

Assistive Robot Arm Controlled by a P300-based Brain Machine Interface for Daily Activities. / Achanccaray, David; Chau, Juan M.; Pirca, Jairo et al.
9th International IEEE EMBS Conference on Neural Engineering, NER 2019. IEEE Computer Society, 2019. p. 1171-1174 8717042 (International IEEE/EMBS Conference on Neural Engineering, NER; Vol. 2019-March).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

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AU - Achanccaray, David

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AU - Sepulveda, Francisco

AU - Hayashibe, Mitsuhiro

PY - 2019/5/16

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N2 - This work proposes an assistive system for everyday activities composed by a brain machine interface (BMI) based on P300 to choose a predefined task, a robot arm to perform the chosen task, and a stereo vision subsystem developed with two cameras for object recognition and coordinates calculation. The system was tested with eight healthy subjects; its results were greater BMI accuracies, lower 3D coordinates calculation error, and lower task execution time than similar systems. However, it should be tested with disabled subjects to provide more reliable end-user results. Regardless, this system is suitable to assist healthy subjects for performing reaching task to grasp objects in daily activities, and the intuitive interface would be useful for disabled subjects.

AB - This work proposes an assistive system for everyday activities composed by a brain machine interface (BMI) based on P300 to choose a predefined task, a robot arm to perform the chosen task, and a stereo vision subsystem developed with two cameras for object recognition and coordinates calculation. The system was tested with eight healthy subjects; its results were greater BMI accuracies, lower 3D coordinates calculation error, and lower task execution time than similar systems. However, it should be tested with disabled subjects to provide more reliable end-user results. Regardless, this system is suitable to assist healthy subjects for performing reaching task to grasp objects in daily activities, and the intuitive interface would be useful for disabled subjects.

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Achanccaray D, Chau JM, Pirca J, Sepulveda F, Hayashibe M. Assistive Robot Arm Controlled by a P300-based Brain Machine Interface for Daily Activities. En 9th International IEEE EMBS Conference on Neural Engineering, NER 2019. IEEE Computer Society. 2019. p. 1171-1174. 8717042. (International IEEE/EMBS Conference on Neural Engineering, NER). doi: 10.1109/NER.2019.8717042

Assistive Robot Arm Controlled by a P300-based Brain Machine Interface for Daily Activities

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