Controlling the Wheelchair by Eye Movements Using EEG

Van Cam Thi Le, Nhan Thanh Le, Hai Ngoc Nguyen, Dang Cao Le, Keiji Iramina

研究成果: 著書/レポートタイプへの貢献会議での発言

抄録

In this study, we propose a method to control the wheelchair by eye movement using Electroencephalography (EEG). Firstly, we collect EEG signal by five types of eye movement: Blink, Double blink, look at Right, look at Left and Relax. These movements correspond to five directions of wheelchair motion: Go forward, Go backward, Turn right, Turn left and Stop. After that, the offline EEG signal is analyzed using MATLAB to find out the classified threshold of the signal amplitude in Alpha band and Delta band. Finally, an effective algorithm is built allowing us to identify the type of eye movement and control the external device—the powered wheelchair. As the result, the average accuracy for five motion directions (Go forward, Go backward, Turn right, Turn left and Stop) are 92.333, 93, 81.667, 86.667 and 83% respectively. With this study, we expect it can give people the help they need and be applied to many fields in the near future.

元の言語英語
ホスト出版物のタイトル7th International Conference on the Development of Biomedical Engineering in Vietnam (BME7) - Translational Health Science and Technology for Developing Countries, 2018
編集者Vo Van Toi, Trung Quoc Le, Hoan Thanh Ngo, Thi-Hiep Nguyen
出版者Springer Verlag
ページ231-234
ページ数4
ISBN(印刷物)9789811358586
DOI
出版物ステータス出版済み - 1 1 2020
イベント7th International Conference on the Development of Biomedical Engineering in Vietnam, BME 2018 - Ho Chi Minh, ベトナム
継続期間: 6 27 20186 29 2018

出版物シリーズ

名前IFMBE Proceedings
69
ISSN(印刷物)1680-0737

会議

会議7th International Conference on the Development of Biomedical Engineering in Vietnam, BME 2018
ベトナム
Ho Chi Minh
期間6/27/186/29/18

Fingerprint

Wheelchairs
Eye movements
Electroencephalography
MATLAB
Direction compound

All Science Journal Classification (ASJC) codes

  • Bioengineering
  • Biomedical Engineering

これを引用

Le, V. C. T., Le, N. T., Nguyen, H. N., Le, D. C., & Iramina, K. (2020). Controlling the Wheelchair by Eye Movements Using EEG. : V. Van Toi, T. Q. Le, H. T. Ngo, & T-H. Nguyen (版), 7th International Conference on the Development of Biomedical Engineering in Vietnam (BME7) - Translational Health Science and Technology for Developing Countries, 2018 (pp. 231-234). (IFMBE Proceedings; 巻数 69). Springer Verlag. https://doi.org/10.1007/978-981-13-5859-3_41

Controlling the Wheelchair by Eye Movements Using EEG. / Le, Van Cam Thi; Le, Nhan Thanh; Nguyen, Hai Ngoc; Le, Dang Cao; Iramina, Keiji.

7th International Conference on the Development of Biomedical Engineering in Vietnam (BME7) - Translational Health Science and Technology for Developing Countries, 2018. 版 / Vo Van Toi; Trung Quoc Le; Hoan Thanh Ngo; Thi-Hiep Nguyen. Springer Verlag, 2020. p. 231-234 (IFMBE Proceedings; 巻 69).

研究成果: 著書/レポートタイプへの貢献会議での発言

Le, VCT, Le, NT, Nguyen, HN, Le, DC & Iramina, K 2020, Controlling the Wheelchair by Eye Movements Using EEG. : V Van Toi, TQ Le, HT Ngo & T-H Nguyen (版), 7th International Conference on the Development of Biomedical Engineering in Vietnam (BME7) - Translational Health Science and Technology for Developing Countries, 2018. IFMBE Proceedings, 巻. 69, Springer Verlag, pp. 231-234, 7th International Conference on the Development of Biomedical Engineering in Vietnam, BME 2018, Ho Chi Minh, ベトナム, 6/27/18. https://doi.org/10.1007/978-981-13-5859-3_41
Le VCT, Le NT, Nguyen HN, Le DC, Iramina K. Controlling the Wheelchair by Eye Movements Using EEG. : Van Toi V, Le TQ, Ngo HT, Nguyen T-H, 編集者, 7th International Conference on the Development of Biomedical Engineering in Vietnam (BME7) - Translational Health Science and Technology for Developing Countries, 2018. Springer Verlag. 2020. p. 231-234. (IFMBE Proceedings). https://doi.org/10.1007/978-981-13-5859-3_41
Le, Van Cam Thi ; Le, Nhan Thanh ; Nguyen, Hai Ngoc ; Le, Dang Cao ; Iramina, Keiji. / Controlling the Wheelchair by Eye Movements Using EEG. 7th International Conference on the Development of Biomedical Engineering in Vietnam (BME7) - Translational Health Science and Technology for Developing Countries, 2018. 編集者 / Vo Van Toi ; Trung Quoc Le ; Hoan Thanh Ngo ; Thi-Hiep Nguyen. Springer Verlag, 2020. pp. 231-234 (IFMBE Proceedings).
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abstract = "In this study, we propose a method to control the wheelchair by eye movement using Electroencephalography (EEG). Firstly, we collect EEG signal by five types of eye movement: Blink, Double blink, look at Right, look at Left and Relax. These movements correspond to five directions of wheelchair motion: Go forward, Go backward, Turn right, Turn left and Stop. After that, the offline EEG signal is analyzed using MATLAB to find out the classified threshold of the signal amplitude in Alpha band and Delta band. Finally, an effective algorithm is built allowing us to identify the type of eye movement and control the external device—the powered wheelchair. As the result, the average accuracy for five motion directions (Go forward, Go backward, Turn right, Turn left and Stop) are 92.333, 93, 81.667, 86.667 and 83{\%} respectively. With this study, we expect it can give people the help they need and be applied to many fields in the near future.",
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