The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Apr. 20, 2021

Filed:

Sep. 07, 2018
Applicant:

Korea University Research and Business Foundation, Seoul, KR;

Inventors:

Seong-Whan Lee, Seoul, KR;

Ji-Hoon Jeong, Seoul, KR;

Keun-Tae Kim, Seoul, KR;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 3/01 (2006.01); B25J 9/16 (2006.01); A61B 5/375 (2021.01); A61B 5/00 (2006.01); B25J 13/08 (2006.01); A61B 5/369 (2021.01);
U.S. Cl.
CPC ...
A61B 5/375 (2021.01); A61B 5/369 (2021.01); A61B 5/7264 (2013.01); B25J 9/161 (2013.01); B25J 9/1612 (2013.01); B25J 9/1689 (2013.01); B25J 13/087 (2013.01); G06F 3/015 (2013.01); A61B 5/7275 (2013.01);
Abstract

The present disclosure provides a method of generating a control signal to control a motion of a robot arm device by a brain-computer interface (BCI) apparatus and the BCI apparatus. The present method includes: measuring a first electroencephalogram (EEG) and extracting an abstract feature of the first EEG; determining one of a reaching control mode, a hand grasp/opening control mode, and a wrist rotation control mode based on the abstract feature of the first EEG; performing feedback of the determined control mode to a user; measuring an error-related potential as a second EEG; redetermining the control mode by re-extracting an abstract feature of the first EEG when the error-related potential exceeds a threshold value or measuring a third EEG when the error-related potential does not exceed the threshold value; extracting a result value by applying different feature extraction methods and different classification methods to the third EEG depending on the determined control mode; and supplying a control signal generated based on the result value to the robot arm device.


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