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An Artificial Neural Network Based Robot Controller that Uses Rat’s Brain Signals
http://hdl.handle.net/10110/00018187
http://hdl.handle.net/10110/00018187bb8a73b7-fae9-46d9-ab23-20e97316a6e5
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
Robotics_2_54to65_Kawahara (740.1 kB)
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| Item type | 学術雑誌論文 / Journal Article(1) | |||||||||||||
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| 公開日 | 2018-02-22 | |||||||||||||
| タイトル | ||||||||||||||
| タイトル | An Artificial Neural Network Based Robot Controller that Uses Rat’s Brain Signals | |||||||||||||
| タイトル | ||||||||||||||
| タイトル | An Artificial Neural Network Based Robot Controller that Uses Rat’s Brain Signals | |||||||||||||
| 言語 | en | |||||||||||||
| 言語 | ||||||||||||||
| 言語 | eng | |||||||||||||
| キーワード | ||||||||||||||
| 主題Scheme | Other | |||||||||||||
| 主題 | brain machine interface | |||||||||||||
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| 主題Scheme | Other | |||||||||||||
| 主題 | learning and adaptive systems | |||||||||||||
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| 主題Scheme | Other | |||||||||||||
| 主題 | radial basis function neural controllers | |||||||||||||
| キーワード | ||||||||||||||
| 主題Scheme | Other | |||||||||||||
| 主題 | brain machine interface | |||||||||||||
| キーワード | ||||||||||||||
| 主題Scheme | Other | |||||||||||||
| 主題 | learning and adaptive systems | |||||||||||||
| キーワード | ||||||||||||||
| 主題Scheme | Other | |||||||||||||
| 主題 | radial basis function neural controllers | |||||||||||||
| 資源タイプ | ||||||||||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||||||||||
| 資源タイプ | journal article | |||||||||||||
| 著者 |
Mano, Marsel
× Mano, Marsel
× Capi, Genci
× Tanaka, Norifumi
× Kawahara, Shigenori
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| その他（別言語等）のタイトル | ||||||||||||||
| その他のタイトル | An Artificial Neural Network Based Robot Controller that Uses Rat’s Brain Signals | |||||||||||||
| 抄録 | ||||||||||||||
| 内容記述タイプ | Abstract | |||||||||||||
| 内容記述 | Brain machine interface (BMI) has been proposed as a novel technique to control prosthetic devices aimed at restoring motor functions in paralyzed patients. In this paper, we propose a neural network based controller that maps rat’s brain signals and transforms them into robot movement. First, the rat is trained to move the robot by pressing the right and left lever in order to get food. Next, we collect brain signals with four implanted electrodes, two in the motor cortex and two in the somatosensory cortex area. The collected data are used to train and evaluate different artificial neural controllers. Trained neural controllers are employed online to map brain signals and transform them into robot motion. Offline and online classification results of rat’s brain signals show that the Radial Basis Function Neural Networks (RBFNN) outperforms other neural networks. In addition, online robot control results show that even with a limited number of electrodes, the robot motion generated by RBFNN matched the motion generated by the left and right lever position. | |||||||||||||
| 引用 | ||||||||||||||
| 内容記述タイプ | Other | |||||||||||||
| 内容記述 | Robotics 2, 54-65.(2013) | |||||||||||||
| 書誌情報 |
Robotics Robotics 巻 2, p. 54-65, 発行日 2013 |
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| ISSN | ||||||||||||||
| 収録物識別子タイプ | ISSN | |||||||||||||
| 収録物識別子 | 2218-6581 | |||||||||||||
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| 関連タイプ | isIdenticalTo | |||||||||||||
| 識別子タイプ | DOI | |||||||||||||
| 関連識別子 | 10.3390/robotics2020054 | |||||||||||||
| フォーマット | ||||||||||||||
| 内容記述タイプ | Other | |||||||||||||
| 内容記述 | application/pdf | |||||||||||||
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| 出版タイプ | VoR | |||||||||||||
| 出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||||||||||
| 出版者 | ||||||||||||||
| 出版者 | MDPI AG. | |||||||||||||
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| 内容記述タイプ | Other | |||||||||||||
| 内容記述 | Article | |||||||||||||
