Design of a brain-controlled robot arm system based on upper-limb movement imagery

Ji Hoon Jeong; Keun Tae Kim; Yong Deok Yun; Seong Whan Lee

doi:10.1109/IWW-BCI.2018.8311514

Design of a brain-controlled robot arm system based on upper-limb movement imagery

Ji Hoon Jeong, Keun Tae Kim, Yong Deok Yun, Seong Whan Lee

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

11 Citations (Scopus)

Abstract

This paper presents a prototype for a brain-controlled robot arm system using a variety of upper-limb movement imagery. To do that, we have designed the experimental environment based on brain signals. The experimental system architecture was modularized into three main components: BMI, network, and control parts. Six subjects participated in our experiments. The subject performed various upper-limb actual movement and imagery task. Each task consisted of three different movement/imagery: Arm reaching tasks, hand grasping tasks, and wrist twisting tasks. We confirmed the classification accuracies are 22.65%, 50.79%, and 54.44%, respectively. Moreover, we will demonstrate that brain-controlled robot arm system can achieve a high-level task in multi-dimensional space.

Original language	English
Title of host publication	2018 6th International Conference on Brain-Computer Interface, BCI 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1-3
Number of pages	3
ISBN (Electronic)	9781538625743
DOIs	https://doi.org/10.1109/IWW-BCI.2018.8311514
Publication status	Published - 2018 Mar 9
Event	6th International Conference on Brain-Computer Interface, BCI 2018 - GangWon, Korea, Republic of Duration: 2018 Jan 15 → 2018 Jan 17

Publication series

Name	2018 6th International Conference on Brain-Computer Interface, BCI 2018
Volume	2018-January

Other

Other	6th International Conference on Brain-Computer Interface, BCI 2018
Country/Territory	Korea, Republic of
City	GangWon
Period	18/1/15 → 18/1/17

Bibliographical note

Funding Information:
This work was supported by Institute for Information & communications Technology Promotion(IITP) grant funded by the Korea government(MSIT) (No.2017-0-00432, Development of non-invasive integrated BCI SW platform to control home appliances and external devices by user's thought via AR/VR interface).

Publisher Copyright:
© 2018 IEEE.

Keywords

a robot arm
brain machine interface
electro-encephalography
upper-limb movement imagery

ASJC Scopus subject areas

Artificial Intelligence
Human-Computer Interaction
Behavioral Neuroscience

Access to Document

10.1109/IWW-BCI.2018.8311514

Cite this

Jeong, J. H., Kim, K. T., Yun, Y. D., & Lee, S. W. (2018). Design of a brain-controlled robot arm system based on upper-limb movement imagery. In 2018 6th International Conference on Brain-Computer Interface, BCI 2018 (pp. 1-3). (2018 6th International Conference on Brain-Computer Interface, BCI 2018; Vol. 2018-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IWW-BCI.2018.8311514

Design of a brain-controlled robot arm system based on upper-limb movement imagery. / Jeong, Ji Hoon; Kim, Keun Tae; Yun, Yong Deok et al.
2018 6th International Conference on Brain-Computer Interface, BCI 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 1-3 (2018 6th International Conference on Brain-Computer Interface, BCI 2018; Vol. 2018-January).

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

Jeong, JH, Kim, KT, Yun, YD & Lee, SW 2018, Design of a brain-controlled robot arm system based on upper-limb movement imagery. in 2018 6th International Conference on Brain-Computer Interface, BCI 2018. 2018 6th International Conference on Brain-Computer Interface, BCI 2018, vol. 2018-January, Institute of Electrical and Electronics Engineers Inc., pp. 1-3, 6th International Conference on Brain-Computer Interface, BCI 2018, GangWon, Korea, Republic of, 18/1/15. https://doi.org/10.1109/IWW-BCI.2018.8311514

Jeong JH, Kim KT, Yun YD, Lee SW. Design of a brain-controlled robot arm system based on upper-limb movement imagery. In 2018 6th International Conference on Brain-Computer Interface, BCI 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 1-3. (2018 6th International Conference on Brain-Computer Interface, BCI 2018). doi: 10.1109/IWW-BCI.2018.8311514

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abstract = "This paper presents a prototype for a brain-controlled robot arm system using a variety of upper-limb movement imagery. To do that, we have designed the experimental environment based on brain signals. The experimental system architecture was modularized into three main components: BMI, network, and control parts. Six subjects participated in our experiments. The subject performed various upper-limb actual movement and imagery task. Each task consisted of three different movement/imagery: Arm reaching tasks, hand grasping tasks, and wrist twisting tasks. We confirmed the classification accuracies are 22.65%, 50.79%, and 54.44%, respectively. Moreover, we will demonstrate that brain-controlled robot arm system can achieve a high-level task in multi-dimensional space.",

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Design of a brain-controlled robot arm system based on upper-limb movement imagery

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Keywords

ASJC Scopus subject areas

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