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UAV manipulation by hand gesture recognition
https://tokushima-u.repo.nii.ac.jp/records/2012250
https://tokushima-u.repo.nii.ac.jp/records/20122504178ae74-195d-49f4-a813-6c765f31c258
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
sicejcmsi_15_2_145.pdf (4.34 MB)
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| Item type | 文献 / Documents(1) | |||||||||||||||||
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| 公開日 | 2024-08-28 | |||||||||||||||||
| アクセス権 | ||||||||||||||||||
| アクセス権 | open access | |||||||||||||||||
| 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 | |||||||||||||||||
| 出版社版DOI | ||||||||||||||||||
| 関連識別子 | https://doi.org/10.1080/18824889.2022.2103631 | |||||||||||||||||
| 関連名称 | 10.1080/18824889.2022.2103631 | |||||||||||||||||
| 出版タイプ | ||||||||||||||||||
| 出版タイプ | VoR | |||||||||||||||||
| 出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||||||||||||||
| タイトル | ||||||||||||||||||
| タイトル | UAV manipulation by hand gesture recognition | |||||||||||||||||
| 著者 |
トウゴウ, ショウイチロウ
× トウゴウ, ショウイチロウ
× 浮田, 浩行
WEKO
44
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| 抄録 | ||||||||||||||||||
| 内容記述 | In this study, we discuss a unmanned aerial vehicle operation system by recognizing human gestures. Here, we focus on both dynamic and static gestures, such as moving the right hand repeatedly or holding it in a certain position. And, we propose two methods, one is a feature-based (FB) method to detect the position of the right hand in an image and identify the gesture form features estimated by FFT, and the other is a machine learning (ML) method to detect the position of the right hand in an image and identify the gesture by the framework of the ML. In experiments, we compare the results of gesture recognition by each method. As a result, the recognition rate of the FB method is higher than that of the ML method under the conditions assumed in the FB method. But, in other cases, the ML method is higher than that of the FB method. The ML method is also effective in terms of extensibility, such as adding more types of gestures. | |||||||||||||||||
| キーワード | ||||||||||||||||||
| 主題 | Gesture recognition | |||||||||||||||||
| キーワード | ||||||||||||||||||
| 主題 | UAV manipulation | |||||||||||||||||
| キーワード | ||||||||||||||||||
| 主題 | feature extraction | |||||||||||||||||
| キーワード | ||||||||||||||||||
| 主題 | hand region estimation | |||||||||||||||||
| キーワード | ||||||||||||||||||
| 主題 | fast Fourier transform | |||||||||||||||||
| キーワード | ||||||||||||||||||
| 主題 | machine learning | |||||||||||||||||
| キーワード | ||||||||||||||||||
| 主題 | OpenPose | |||||||||||||||||
| キーワード | ||||||||||||||||||
| 主題 | long short-term memory | |||||||||||||||||
| 書誌情報 |
en : SICE Journal of Control, Measurement, and System Integration 巻 15, 号 2, p. 145-161, 発行日 2022-08-05 |
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| 収録物ID | ||||||||||||||||||
| 収録物識別子タイプ | ISSN | |||||||||||||||||
| 収録物識別子 | 18824889 | |||||||||||||||||
| 収録物ID | ||||||||||||||||||
| 収録物識別子タイプ | ISSN | |||||||||||||||||
| 収録物識別子 | 18849970 | |||||||||||||||||
| 収録物ID | ||||||||||||||||||
| 収録物識別子タイプ | NCID | |||||||||||||||||
| 収録物識別子 | AA12293218 | |||||||||||||||||
| 出版者 | ||||||||||||||||||
| 出版者 | Taylor & Francis | |||||||||||||||||
| 権利情報 | ||||||||||||||||||
| 権利情報 | This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. | |||||||||||||||||
| EID | ||||||||||||||||||
| 識別子 | 401208 | |||||||||||||||||
| 言語 | ||||||||||||||||||
| 言語 | eng | |||||||||||||||||
