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Symposium(1) |
公開日 |
2022-12-20 |
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タイトル |
Development of Real-time Controlling of Zumo Robot Movement using Brainwave Sensor |
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言語 |
en |
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タイトル |
Development of Real-time Controlling of Zumo Robot Movement using Brainwave Sensor |
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言語 |
eng |
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資源タイプ識別子 |
http://purl.org/coar/resource_type/c_5794 |
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資源タイプ |
conference paper |
著者所属 |
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Shibaura Institute of Technology |
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Shibaura Institute of Technology |
著者所属 |
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Shibaura Institute of Technology |
著者所属 |
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Shibaura Institute of Technology |
著者所属 |
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Shibaura Institute of Technology |
著者所属(英) |
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en |
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Shibaura Institute of Technology |
著者所属(英) |
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en |
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Shibaura Institute of Technology |
著者所属(英) |
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en |
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Shibaura Institute of Technology |
著者所属(英) |
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en |
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Shibaura Institute of Technology |
著者所属(英) |
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en |
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Shibaura Institute of Technology |
著者名 |
Udit, Bhakta Pradhan
Chen, Feng
Tipporn, Laohakangvalvit
Peeraya, Sripian
Midori, Sugaya
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著者名(英) |
Udit, Bhakta Pradhan
Chen, Feng
Tipporn, Laohakangvalvit
Peeraya, Sripian
Midori, Sugaya
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論文抄録 |
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内容記述タイプ |
Other |
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内容記述 |
Brain Computer Interface (BCI) is a system that allows users to send information from their brain to an external computer. These brain signals can be used to control wheelchairs, prosthetics, switches, robots and more. As the preliminary stage of our study on BCI, we aim to build a simple BCI system employing an Arduino-controlled Zumo robot and a commercially available brainwave sensor (i.e., Neurosky Mindwave Mobile 2). In this study, we used Attention level calculated by an original algorithm of the brainwave sensor as it can consciously controlled by an individual and is also a simple parameter to work with for preliminary stage in developing BCI system. Firstly, we obtained the Attention level from the brainwave sensor, and sent it to the Zumo robot through Bluetooth module in order to control the robot movement in real time. If the Attention level is higher than a predefined threshold, the robot will move forward. Otherwise, the robot will stop moving. As a result, we succeeded to build the EEG-based controllable movement on a simple robot. Also, we were able to grasp the basic understanding of how a BCI system works and to create a foundation for future BCI studies. |
論文抄録(英) |
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内容記述タイプ |
Other |
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内容記述 |
Brain Computer Interface (BCI) is a system that allows users to send information from their brain to an external computer. These brain signals can be used to control wheelchairs, prosthetics, switches, robots and more. As the preliminary stage of our study on BCI, we aim to build a simple BCI system employing an Arduino-controlled Zumo robot and a commercially available brainwave sensor (i.e., Neurosky Mindwave Mobile 2). In this study, we used Attention level calculated by an original algorithm of the brainwave sensor as it can consciously controlled by an individual and is also a simple parameter to work with for preliminary stage in developing BCI system. Firstly, we obtained the Attention level from the brainwave sensor, and sent it to the Zumo robot through Bluetooth module in order to control the robot movement in real time. If the Attention level is higher than a predefined threshold, the robot will move forward. Otherwise, the robot will stop moving. As a result, we succeeded to build the EEG-based controllable movement on a simple robot. Also, we were able to grasp the basic understanding of how a BCI system works and to create a foundation for future BCI studies. |
書誌情報 |
Proceedings of Asia Pacific Conference on Robot IoT System Development and Platform
巻 2022,
p. 30-31,
発行日 2022-12-20
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出版者 |
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言語 |
ja |
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出版者 |
情報処理学会 |