Title
Assistive Robot Arm Controlled by a P300-based Brain Machine Interface for Daily Activities
Date Issued
2019
Access level
restricted access
Resource Type
conference paper
Author(s)
Pirca J.
Hayashibe M.
Publisher(s)
IEEE Computer Society
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. © 2019 IEEE.
Start page
1171
End page
1174
Volume
2019-March
Number
6
Language
English
Subjects
Scopus EID
2-s2.0-85066739160
Source
International IEEE/EMBS Conference on Neural Engineering, NER
ISSN of the container
1948-3546
ISBN of the container
9781538679210
Conference
9th International IEEE EMBS Conference on Neural Engineering, NER 2019
Sponsor(s)
This work was supported by FONDECYT from CONCYTEC, Peru. Contract 112-2017 and project grant J004-2016.
Sources of information:
Directorio de Producción Científica