Commanding a Brain-Controlled Wheelchair Using Steady-State Somatosensory Evoked Potentials
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, Keun-Tae | - |
dc.contributor.author | Suk, Heung-Il | - |
dc.contributor.author | Lee, Seong-Whan | - |
dc.date.accessioned | 2021-09-02T14:06:28Z | - |
dc.date.available | 2021-09-02T14:06:28Z | - |
dc.date.created | 2021-06-16 | - |
dc.date.issued | 2018-03 | - |
dc.identifier.issn | 1534-4320 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/76871 | - |
dc.description.abstract | In this work, we propose a novel brain-controlled wheelchair, one of the major applications of brain-machine interfaces (BMIs), that allows an individual with mobility impairments to perform daily living activities independently. Specifically, we propose to use a steady-state somatosensory evoked potential (SSSEP) paradigm, which elicits brain responses to tactile stimulation of specific frequencies, for a user's intention to control a wheelchair. In our system, a user had three possible commands by concentrating on one of three vibration stimuli, which were attached to the left-hand, right-hand, and right-foot, to selectively control the wheelchair. The three stimuli were associated with three wheelchair commands: turn-left, turn-right, and move-forward. From a machine learning perspective, we also devise a novel feature representation by combining spatial and spectral characteristics of brain signals. In order to validate the effectiveness of the proposed SSSEP-based system, we considered two different tasks: 1) a simple obstacle-avoidance task within a limited time and; 2) a driving task along the predefined trajectory of about 40 m length, where there were a narrow pathway, a door, and obstacles. In both experiments, we recruited 12 subjects and compared the average time of motor imagery (MI) and SSSEP-based controls to complete the task. With the SSSEP-based control, all subjects successfully completed the task without making any collision while four subjects failed it with MI-based control. It is also noteworthy that in terms of the average time to complete the task, the SSSEP-based control outperformed the MI-based control. In the other more challenging task, all subjects successfully reached the target location. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | - |
dc.subject | COMPUTER-INTERFACE | - |
dc.subject | NEUROPHYSIOLOGICAL PROTOCOL | - |
dc.subject | ACTUATED WHEELCHAIR | - |
dc.subject | ROBOTIC WHEELCHAIR | - |
dc.subject | MOTOR IMAGERY | - |
dc.subject | COMMUNICATION | - |
dc.subject | SYSTEM | - |
dc.subject | BCI | - |
dc.subject | CLASSIFICATION | - |
dc.subject | TETRAPLEGIA | - |
dc.title | Commanding a Brain-Controlled Wheelchair Using Steady-State Somatosensory Evoked Potentials | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Suk, Heung-Il | - |
dc.contributor.affiliatedAuthor | Lee, Seong-Whan | - |
dc.identifier.doi | 10.1109/TNSRE.2016.2597854 | - |
dc.identifier.scopusid | 2-s2.0-85032641421 | - |
dc.identifier.wosid | 000427225600013 | - |
dc.identifier.bibliographicCitation | IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, v.26, no.3, pp.654 - 665 | - |
dc.relation.isPartOf | IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING | - |
dc.citation.title | IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING | - |
dc.citation.volume | 26 | - |
dc.citation.number | 3 | - |
dc.citation.startPage | 654 | - |
dc.citation.endPage | 665 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalResearchArea | Rehabilitation | - |
dc.relation.journalWebOfScienceCategory | Engineering, Biomedical | - |
dc.relation.journalWebOfScienceCategory | Rehabilitation | - |
dc.subject.keywordPlus | COMPUTER-INTERFACE | - |
dc.subject.keywordPlus | NEUROPHYSIOLOGICAL PROTOCOL | - |
dc.subject.keywordPlus | ACTUATED WHEELCHAIR | - |
dc.subject.keywordPlus | ROBOTIC WHEELCHAIR | - |
dc.subject.keywordPlus | MOTOR IMAGERY | - |
dc.subject.keywordPlus | COMMUNICATION | - |
dc.subject.keywordPlus | SYSTEM | - |
dc.subject.keywordPlus | BCI | - |
dc.subject.keywordPlus | CLASSIFICATION | - |
dc.subject.keywordPlus | TETRAPLEGIA | - |
dc.subject.keywordAuthor | Brain-machine interfaces (BMIs) | - |
dc.subject.keywordAuthor | brain-controlled wheelchair | - |
dc.subject.keywordAuthor | electroencephalography (EEG) | - |
dc.subject.keywordAuthor | steady-state somatosensory evoked potential (SSSEP) | - |
dc.subject.keywordAuthor | motor imagery (MI) | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
(02841) 서울특별시 성북구 안암로 14502-3290-1114
COPYRIGHT © 2021 Korea University. All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.