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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

12 Scopus citations

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.

Original language	English
Title of host publication	9th International IEEE EMBS Conference on Neural Engineering, NER 2019
Publisher	IEEE Computer Society
Pages	1171-1174
Number of pages	4
ISBN (Electronic)	9781538679210
DOIs	https://doi.org/10.1109/NER.2019.8717042
State	Published - 16 May 2019
Event	9th International IEEE EMBS Conference on Neural Engineering, NER 2019 - San Francisco, United States Duration: 20 Mar 2019 → 23 Mar 2019

Publication series

Name	International IEEE/EMBS Conference on Neural Engineering, NER
Volume	2019-March
ISSN (Print)	1948-3546
ISSN (Electronic)	1948-3554

Conference

Conference	9th International IEEE EMBS Conference on Neural Engineering, NER 2019
Country/Territory	United States
City	San Francisco
Period	20/03/19 → 23/03/19

Access to Document

10.1109/NER.2019.8717042

Cite this

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. In 9th International IEEE EMBS Conference on Neural Engineering, NER 2019 (pp. 1171-1174). Article 8717042 (International IEEE/EMBS Conference on Neural Engineering, NER; Vol. 2019-March). IEEE Computer Society. https://doi.org/10.1109/NER.2019.8717042

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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. in 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, United States, 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).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Hayashibe, Mitsuhiro

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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. In 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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