Development of SSVEP-based intelligent wheelchair brain computer interface assisted by reactive obstacle avoidance

Yi Tseng Lin; Chung Hsien Kuo

doi:10.1109/ICIT.2016.7474995

Development of SSVEP-based intelligent wheelchair brain computer interface assisted by reactive obstacle avoidance

Yi Tseng Lin, Chung Hsien Kuo

National Taiwan University of Science and Technology

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

15 Scopus citations

Abstract

This paper proposed a SSVEP-based brain-computer interface (BCI) for wheelchair controls. SSVEP is an evoked signal which responds to visual flickering stimuli at a specific frequency. A stimulus panel containing 12, 15, 18 and 28-Hz flickering stimuli was presented in front of users. Each flickering stimulus was used to evoke SSVEP and responded to a particular command for the wheelchair control. The power spectrum densities (PSDs) for the specific frequency bands were analyzed. A target stimuli was triggered when the PSD exceeded a defined threshold. Users were able to drive the wheelchair with forward, stop, left-turn and right-turn commands according to their intentions. Additionally, a reactive navigation scheme based on artificial potential field (APF) approach was implemented to improve the security of the proposed system. A laser scanner was outfitted for obstacle detections. The proposed wheelchair system is expected to provide a convenient, safe and comfortable mobile assistance to users suffering spinal cord injuries (SCIs).

Original language	English
Title of host publication	Proceedings - 2016 IEEE International Conference on Industrial Technology, ICIT 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1572-1577
Number of pages	6
ISBN (Electronic)	9781467380751
DOIs	https://doi.org/10.1109/ICIT.2016.7474995
State	Published - 19 05 2016
Externally published	Yes
Event	IEEE International Conference on Industrial Technology, ICIT 2016 - Taipei, Taiwan Duration: 14 03 2016 → 17 03 2016

Publication series

Name	Proceedings of the IEEE International Conference on Industrial Technology
Volume	2016-May

Conference

Conference	IEEE International Conference on Industrial Technology, ICIT 2016
Country/Territory	Taiwan
City	Taipei
Period	14/03/16 → 17/03/16

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

Keywords

APF
BCI
SSVEP
reactive navigation

Access to Document

10.1109/ICIT.2016.7474995

Cite this

Lin, Y. T., & Kuo, C. H. (2016). Development of SSVEP-based intelligent wheelchair brain computer interface assisted by reactive obstacle avoidance. In Proceedings - 2016 IEEE International Conference on Industrial Technology, ICIT 2016 (pp. 1572-1577). Article 7474995 (Proceedings of the IEEE International Conference on Industrial Technology; Vol. 2016-May). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICIT.2016.7474995

Lin, Yi Tseng ; Kuo, Chung Hsien. / Development of SSVEP-based intelligent wheelchair brain computer interface assisted by reactive obstacle avoidance. Proceedings - 2016 IEEE International Conference on Industrial Technology, ICIT 2016. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 1572-1577 (Proceedings of the IEEE International Conference on Industrial Technology).

@inproceedings{8c03d4f0ca7d4b38873fb37fae364149,

title = "Development of SSVEP-based intelligent wheelchair brain computer interface assisted by reactive obstacle avoidance",

abstract = "This paper proposed a SSVEP-based brain-computer interface (BCI) for wheelchair controls. SSVEP is an evoked signal which responds to visual flickering stimuli at a specific frequency. A stimulus panel containing 12, 15, 18 and 28-Hz flickering stimuli was presented in front of users. Each flickering stimulus was used to evoke SSVEP and responded to a particular command for the wheelchair control. The power spectrum densities (PSDs) for the specific frequency bands were analyzed. A target stimuli was triggered when the PSD exceeded a defined threshold. Users were able to drive the wheelchair with forward, stop, left-turn and right-turn commands according to their intentions. Additionally, a reactive navigation scheme based on artificial potential field (APF) approach was implemented to improve the security of the proposed system. A laser scanner was outfitted for obstacle detections. The proposed wheelchair system is expected to provide a convenient, safe and comfortable mobile assistance to users suffering spinal cord injuries (SCIs).",

keywords = "APF, BCI, SSVEP, reactive navigation",

author = "Lin, {Yi Tseng} and Kuo, {Chung Hsien}",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; IEEE International Conference on Industrial Technology, ICIT 2016 ; Conference date: 14-03-2016 Through 17-03-2016",

year = "2016",

month = may,

day = "19",

doi = "10.1109/ICIT.2016.7474995",

language = "英语",

series = "Proceedings of the IEEE International Conference on Industrial Technology",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "1572--1577",

booktitle = "Proceedings - 2016 IEEE International Conference on Industrial Technology, ICIT 2016",

address = "美国",

}

Lin, YT & Kuo, CH 2016, Development of SSVEP-based intelligent wheelchair brain computer interface assisted by reactive obstacle avoidance. in Proceedings - 2016 IEEE International Conference on Industrial Technology, ICIT 2016., 7474995, Proceedings of the IEEE International Conference on Industrial Technology, vol. 2016-May, Institute of Electrical and Electronics Engineers Inc., pp. 1572-1577, IEEE International Conference on Industrial Technology, ICIT 2016, Taipei, Taiwan, 14/03/16. https://doi.org/10.1109/ICIT.2016.7474995

Development of SSVEP-based intelligent wheelchair brain computer interface assisted by reactive obstacle avoidance. / Lin, Yi Tseng; Kuo, Chung Hsien.
Proceedings - 2016 IEEE International Conference on Industrial Technology, ICIT 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 1572-1577 7474995 (Proceedings of the IEEE International Conference on Industrial Technology; Vol. 2016-May).

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

TY - GEN

T1 - Development of SSVEP-based intelligent wheelchair brain computer interface assisted by reactive obstacle avoidance

AU - Lin, Yi Tseng

AU - Kuo, Chung Hsien

PY - 2016/5/19

Y1 - 2016/5/19

N2 - This paper proposed a SSVEP-based brain-computer interface (BCI) for wheelchair controls. SSVEP is an evoked signal which responds to visual flickering stimuli at a specific frequency. A stimulus panel containing 12, 15, 18 and 28-Hz flickering stimuli was presented in front of users. Each flickering stimulus was used to evoke SSVEP and responded to a particular command for the wheelchair control. The power spectrum densities (PSDs) for the specific frequency bands were analyzed. A target stimuli was triggered when the PSD exceeded a defined threshold. Users were able to drive the wheelchair with forward, stop, left-turn and right-turn commands according to their intentions. Additionally, a reactive navigation scheme based on artificial potential field (APF) approach was implemented to improve the security of the proposed system. A laser scanner was outfitted for obstacle detections. The proposed wheelchair system is expected to provide a convenient, safe and comfortable mobile assistance to users suffering spinal cord injuries (SCIs).

AB - This paper proposed a SSVEP-based brain-computer interface (BCI) for wheelchair controls. SSVEP is an evoked signal which responds to visual flickering stimuli at a specific frequency. A stimulus panel containing 12, 15, 18 and 28-Hz flickering stimuli was presented in front of users. Each flickering stimulus was used to evoke SSVEP and responded to a particular command for the wheelchair control. The power spectrum densities (PSDs) for the specific frequency bands were analyzed. A target stimuli was triggered when the PSD exceeded a defined threshold. Users were able to drive the wheelchair with forward, stop, left-turn and right-turn commands according to their intentions. Additionally, a reactive navigation scheme based on artificial potential field (APF) approach was implemented to improve the security of the proposed system. A laser scanner was outfitted for obstacle detections. The proposed wheelchair system is expected to provide a convenient, safe and comfortable mobile assistance to users suffering spinal cord injuries (SCIs).

KW - APF

KW - BCI

KW - SSVEP

KW - reactive navigation

UR - http://www.scopus.com/inward/record.url?scp=84974602720&partnerID=8YFLogxK

U2 - 10.1109/ICIT.2016.7474995

DO - 10.1109/ICIT.2016.7474995

M3 - 会议稿件

AN - SCOPUS:84974602720

T3 - Proceedings of the IEEE International Conference on Industrial Technology

SP - 1572

EP - 1577

BT - Proceedings - 2016 IEEE International Conference on Industrial Technology, ICIT 2016

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - IEEE International Conference on Industrial Technology, ICIT 2016

Y2 - 14 March 2016 through 17 March 2016

ER -

Lin YT, Kuo CH. Development of SSVEP-based intelligent wheelchair brain computer interface assisted by reactive obstacle avoidance. In Proceedings - 2016 IEEE International Conference on Industrial Technology, ICIT 2016. Institute of Electrical and Electronics Engineers Inc. 2016. p. 1572-1577. 7474995. (Proceedings of the IEEE International Conference on Industrial Technology). doi: 10.1109/ICIT.2016.7474995

Development of SSVEP-based intelligent wheelchair brain computer interface assisted by reactive obstacle avoidance

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

Other files and links

Fingerprint

Cite this