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 proceedingConference contribution

2 Citations (Scopus)

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 languageEnglish
Title of host publication9th International IEEE EMBS Conference on Neural Engineering, NER 2019
PublisherIEEE Computer Society
Pages1171-1174
Number of pages4
ISBN (Electronic)9781538679210
DOIs
Publication statusPublished - 2019 May 16
Event9th International IEEE EMBS Conference on Neural Engineering, NER 2019 - San Francisco, United States
Duration: 2019 Mar 202019 Mar 23

Publication series

NameInternational IEEE/EMBS Conference on Neural Engineering, NER
Volume2019-March
ISSN (Print)1948-3546
ISSN (Electronic)1948-3554

Conference

Conference9th International IEEE EMBS Conference on Neural Engineering, NER 2019
CountryUnited States
CitySan Francisco
Period19/3/2019/3/23

ASJC Scopus subject areas

  • Artificial Intelligence
  • Mechanical Engineering

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  • 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). [8717042] (International IEEE/EMBS Conference on Neural Engineering, NER; Vol. 2019-March). IEEE Computer Society. https://doi.org/10.1109/NER.2019.8717042