Title:
SYSTEM AND METHOD FOR BRAIN-MACHINE INTERFACE LEARNING
Document Type and Number:
WIPO Patent Application WO/2021/095978
Kind Code:
A1
Abstract:
The present invention relates to a system and method for brain-machine interface learning. According to one embodiment of the present invention, when a learner of a brain-machine interface moves an external device, motor information and distance information according to a motion of the external device are transmitted to the learner through a brain stimulation signal, whereby the efficiency of learning the brain-machine interface can advantageously be increased. In addition, a brain region of the learner is stimulated through a brain stimulation signal generated according to a preferred direction of a nerve cell, whereby the efficiency of learning the brain-machine interface can advantageously be increased.
Inventors:
SOHN JEONG-WOO (KR)
PARK HYE-JIN (KR)
PARK HYE-JIN (KR)
Application Number:
PCT/KR2019/016941
Publication Date:
May 20, 2021
Filing Date:
December 03, 2019
Export Citation:
Assignee:
CATHOLIC KWANDONG UNIV IND FOUND (KR)
International Classes:
G06F3/01; A61F2/50; A61F2/70; A61F2/72; G06N3/06
Foreign References:
| KR20190073214A | 2019-06-26 | |||
| KR20180011345A | 2018-01-31 | |||
| US20190314600A1 | 2019-10-17 | |||
| US20180120937A1 | 2018-05-03 |
Other References:
VATO, ALESSANDRO ET AL.: "A Bidirectional Brain-Machine Interface Algorithm That Approximates Arbitrary Force-Fields", PLOS ONE, vol. 9, no. 3, 13 March 2014 (2014-03-13), pages 1 - 20, XP055821464
Attorney, Agent or Firm:
SON, Seung-hee (KR)
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