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

Achanccaray, David and Chau, Juan M and Pirca, Jairo and Sepulveda, Francisco and Hayashibe, Mitsuhiro (2019) Assistive Robot Arm Controlled by a P300-based Brain Machine Interface for Daily Activities. In: 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019-03-20 - 2019-03-23.

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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.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Published proceedings: 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER)
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
R Medicine > RC Internal medicine > RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
Depositing User: Elements
Date Deposited: 17 Jun 2019 09:38
Last Modified: 17 Jun 2019 09:38
URI: http://repository.essex.ac.uk/id/eprint/24853

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