Brain-robot control interface: Development and application

Narendra Prataksita; Yi Tseng Lin; Hung Chyun Chou; Chung Hsien Kuo

doi:10.1109/ISBB.2014.6820928

Brain-robot control interface: Development and application

Narendra Prataksita, Yi Tseng Lin, Hung Chyun Chou, Chung Hsien Kuo

National Taiwan University of Science and Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

10 Scopus citations

Abstract

Recent advances in brain computer interface (BCI) offers its capabilities to provide a way of communication with non-muscular activity to control computers, robots, and other assistive technologies. This paper exploits the possibility towards a semiautonomous, humanoid robot personal assistant for handicapped subjects. The motor imagery (MI) utilizes the event-related desynchronization (ERD) signal to detect user intentions. The detected user intention is further used to manipulate a small-size humanoid robot. In addition, the robot may avoid collision in terms of a vision-based obstacle avoidance approach so that it can walk in an unstructured environment safely.

Original language	English
Title of host publication	2014 IEEE International Symposium on Bioelectronics and Bioinformatics, IEEE ISBB 2014
Publisher	IEEE Computer Society
ISBN (Print)	9781479927708
DOIs	https://doi.org/10.1109/ISBB.2014.6820928
State	Published - 2014
Externally published	Yes
Event	2014 IEEE International Symposium on Bioelectronics and Bioinformatics, IEEE ISBB 2014 - Chung Li, Taiwan Duration: 11 04 2014 → 14 04 2014

Publication series

Name	2014 IEEE International Symposium on Bioelectronics and Bioinformatics, IEEE ISBB 2014

Conference

Conference	2014 IEEE International Symposium on Bioelectronics and Bioinformatics, IEEE ISBB 2014
Country/Territory	Taiwan
City	Chung Li
Period	11/04/14 → 14/04/14

Access to Document

10.1109/ISBB.2014.6820928

Cite this

Prataksita, N., Lin, Y. T., Chou, H. C., & Kuo, C. H. (2014). Brain-robot control interface: Development and application. In 2014 IEEE International Symposium on Bioelectronics and Bioinformatics, IEEE ISBB 2014 Article 6820928 (2014 IEEE International Symposium on Bioelectronics and Bioinformatics, IEEE ISBB 2014). IEEE Computer Society. https://doi.org/10.1109/ISBB.2014.6820928

@inproceedings{336cff36b94d4855b634597a5d594a74,

title = "Brain-robot control interface: Development and application",

abstract = "Recent advances in brain computer interface (BCI) offers its capabilities to provide a way of communication with non-muscular activity to control computers, robots, and other assistive technologies. This paper exploits the possibility towards a semiautonomous, humanoid robot personal assistant for handicapped subjects. The motor imagery (MI) utilizes the event-related desynchronization (ERD) signal to detect user intentions. The detected user intention is further used to manipulate a small-size humanoid robot. In addition, the robot may avoid collision in terms of a vision-based obstacle avoidance approach so that it can walk in an unstructured environment safely.",

author = "Narendra Prataksita and Lin, {Yi Tseng} and Chou, {Hung Chyun} and Kuo, {Chung Hsien}",

year = "2014",

doi = "10.1109/ISBB.2014.6820928",

language = "英语",

isbn = "9781479927708",

series = "2014 IEEE International Symposium on Bioelectronics and Bioinformatics, IEEE ISBB 2014",

publisher = "IEEE Computer Society",

booktitle = "2014 IEEE International Symposium on Bioelectronics and Bioinformatics, IEEE ISBB 2014",

address = "美国",

note = "2014 IEEE International Symposium on Bioelectronics and Bioinformatics, IEEE ISBB 2014 ; Conference date: 11-04-2014 Through 14-04-2014",

}

Prataksita, N, Lin, YT, Chou, HC & Kuo, CH 2014, Brain-robot control interface: Development and application. in 2014 IEEE International Symposium on Bioelectronics and Bioinformatics, IEEE ISBB 2014., 6820928, 2014 IEEE International Symposium on Bioelectronics and Bioinformatics, IEEE ISBB 2014, IEEE Computer Society, 2014 IEEE International Symposium on Bioelectronics and Bioinformatics, IEEE ISBB 2014, Chung Li, Taiwan, 11/04/14. https://doi.org/10.1109/ISBB.2014.6820928

Brain-robot control interface: Development and application. / Prataksita, Narendra; Lin, Yi Tseng; Chou, Hung Chyun et al.
2014 IEEE International Symposium on Bioelectronics and Bioinformatics, IEEE ISBB 2014. IEEE Computer Society, 2014. 6820928 (2014 IEEE International Symposium on Bioelectronics and Bioinformatics, IEEE ISBB 2014).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Brain-robot control interface

T2 - 2014 IEEE International Symposium on Bioelectronics and Bioinformatics, IEEE ISBB 2014

AU - Prataksita, Narendra

AU - Lin, Yi Tseng

AU - Chou, Hung Chyun

AU - Kuo, Chung Hsien

PY - 2014

Y1 - 2014

N2 - Recent advances in brain computer interface (BCI) offers its capabilities to provide a way of communication with non-muscular activity to control computers, robots, and other assistive technologies. This paper exploits the possibility towards a semiautonomous, humanoid robot personal assistant for handicapped subjects. The motor imagery (MI) utilizes the event-related desynchronization (ERD) signal to detect user intentions. The detected user intention is further used to manipulate a small-size humanoid robot. In addition, the robot may avoid collision in terms of a vision-based obstacle avoidance approach so that it can walk in an unstructured environment safely.

AB - Recent advances in brain computer interface (BCI) offers its capabilities to provide a way of communication with non-muscular activity to control computers, robots, and other assistive technologies. This paper exploits the possibility towards a semiautonomous, humanoid robot personal assistant for handicapped subjects. The motor imagery (MI) utilizes the event-related desynchronization (ERD) signal to detect user intentions. The detected user intention is further used to manipulate a small-size humanoid robot. In addition, the robot may avoid collision in terms of a vision-based obstacle avoidance approach so that it can walk in an unstructured environment safely.

UR - http://www.scopus.com/inward/record.url?scp=84904574361&partnerID=8YFLogxK

U2 - 10.1109/ISBB.2014.6820928

DO - 10.1109/ISBB.2014.6820928

M3 - 会议稿件

AN - SCOPUS:84904574361

SN - 9781479927708

T3 - 2014 IEEE International Symposium on Bioelectronics and Bioinformatics, IEEE ISBB 2014

BT - 2014 IEEE International Symposium on Bioelectronics and Bioinformatics, IEEE ISBB 2014

PB - IEEE Computer Society

Y2 - 11 April 2014 through 14 April 2014

ER -

Brain-robot control interface: Development and application

Abstract

Publication series

Conference

Access to Document

Other files and links

Fingerprint

Cite this