書誌事項
- タイトル別名
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- A Novel EMG-based Control System of Five-fingered Robot Hand with Probabilistic Neural Network Incorporating Complementary Gaussian Distribution
- コンゴウ ヨジゾウ ブンプ オ ナイホウ シタ カクリツ ニューラルネット ニ モトズク 5 シ クドウガタ ロボットハンド ノ EMG セイギョ
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抄録
<p>Many man-machine interfaces controlled by electromyogram (EMG) signals such as the myoelectric prosthetic hand have been proposed. General classifiers do not cover unintended motions in the training phase and misclassify those inevitably. Since the misclassification can cause dangerous incidents, an interface with high security is required. To solve this problem, this paper proposes a novel control method of man-machine interfaces that can treat unlearned motions. In the experiments, the proposed method was applied to forearm and finger motion classification to evaluate the validity. The outcomes showed that the approach produces higher and more stable classification performance than comparative methods.</p>
収録刊行物
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- 計測自動制御学会論文集
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計測自動制御学会論文集 57 (12), 504-510, 2021
公益社団法人 計測自動制御学会
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詳細情報 詳細情報について
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- CRID
- 1390290415635650304
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- NII論文ID
- 130008130248
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- NII書誌ID
- AN00072392
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- ISSN
- 18838189
- 04534654
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- NDL書誌ID
- 031882558
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- 本文言語コード
- ja
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- データソース種別
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- JaLC
- NDL
- Crossref
- CiNii Articles
- KAKEN
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- 抄録ライセンスフラグ
- 使用不可