Item type |
Symposium(1) |
公開日 |
2020-06-17 |
タイトル |
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タイトル |
Accurate Boomerang Rotation Speed Estimation from Low-Cost IMU |
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言語 |
en |
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タイトル |
Accurate Boomerang Rotation Speed Estimation from Low-Cost IMU |
言語 |
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言語 |
jpn |
キーワード |
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主題Scheme |
Other |
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主題 |
ユビキタスコンピューティングシステム |
資源タイプ |
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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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Aoyama Gakuin University |
著者所属 |
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DARWIN BOOMERANGS |
著者所属 |
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University Jean Monnet |
著者所属 |
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Aoyama Gakuin University |
著者所属(英) |
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en |
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Aoyama Gakuin University |
著者所属(英) |
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en |
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DARWIN BOOMERANGS |
著者所属(英) |
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en |
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University Jean Monnet |
著者所属(英) |
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en |
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Aoyama Gakuin University |
著者名 |
Kondo, Takumi
Madec, Yvan
Maret, Pierre
Lopez, Guillaume
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著者名(英) |
Kondo, Takumi
Madec, Yvan
Maret, Pierre
Lopez, Guillaume
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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 |
In recent years, some research and techniques have shown many approaches for analyzing the athlete movement with sensor data. A smartphone's application is already available to provide feedback without an instructor by analyzing the user movement with device mounted sensors. To ease boomerang learning, we are developing a smart boomerang mounted a low-cost IMU sensor and a high-cost gyroscope. In the future, to be able to sell smart boomerangs as off the shelf, it will be necessary to remove the high-cost gyroscope. However, the gyroscope value of the IMU sensor saturates while the boomerang is flying. On the other hand, the high-cost one has enough performance. In this study, we estimated the high-cost gyroscope value in the range of low-cost gyroscope saturation using other sensor values. As a result, the polynomial estimated formula of the second degree using x-axis acceleration has enough good accuracy to make up for the high-cost gyroscope. |
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 |
In recent years, some research and techniques have shown many approaches for analyzing the athlete movement with sensor data. A smartphone's application is already available to provide feedback without an instructor by analyzing the user movement with device mounted sensors. To ease boomerang learning, we are developing a smart boomerang mounted a low-cost IMU sensor and a high-cost gyroscope. In the future, to be able to sell smart boomerangs as off the shelf, it will be necessary to remove the high-cost gyroscope. However, the gyroscope value of the IMU sensor saturates while the boomerang is flying. On the other hand, the high-cost one has enough performance. In this study, we estimated the high-cost gyroscope value in the range of low-cost gyroscope saturation using other sensor values. As a result, the polynomial estimated formula of the second degree using x-axis acceleration has enough good accuracy to make up for the high-cost gyroscope. |
書誌情報 |
マルチメディア,分散協調とモバイルシンポジウム2103論文集
巻 2020,
p. 577-580,
発行日 2020-06-17
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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 |